10
10.0
Aug 11, 2020
08/20
by
Tom Schonberg; Christopher Trepel; Craig Fox; Russell A. Poldrack
data
eye 10
favorite 0
comment 0
Submitted by admin on Tue, 07/10/2012 - 16:08 Subjects perform the Balloon Analog Risk-taking Task in an event-related design. Note: The original highres image for sub004 was not available, so the skull-stripped version is included as highres001.nii.gz Tasks and Conditions: 001 Balloon Analogue Risk Task (BART) 001 pumps_fixed 002 pumps_demean 003 pumps_fixed_real_RT 004 cash_fixed 005 cash_demean 006 cash_fixed_real_RT 007 explode_fixed 008 explode_demean 009 control_pumps_fixed 010...
Source: http://academictorrents.com/details/30a8653b160b2c4f8d7e42d2070ebb1438673b2c
5
5.0
Aug 11, 2020
08/20
by
Yale
data
eye 5
favorite 0
comment 0
YouTube Video Text (YVT) contains 30 videos. Each video has 15-second length, 30 frames per second, HD 720p quality and was collected from YouTube. The text content in the dataset can be divided into two categories, overlay text (e.g., captions, songs title, logos) and scene text (e.g. street signs, business signs, words on shirt).
Topic: Dataset
Source: http://academictorrents.com/details/156802226bcf5747e0bea4e4f14c03b3b952de80
9
9.0
Aug 12, 2018
08/18
by
Jure Leskovec; Andrej Krevl
data
eye 9
favorite 0
comment 0
From http://snap.stanford.edu/data/roadNet-CA.html Dataset information A road network of California. Intersections and endpoints are represented by nodes and the roads connecting these intersections or road endpoints are represented by undirected edges. Dataset statistics Nodes: 1965206 Edges: 2766607 Nodes in largest WCC: 1957027 (0.996) Edges in largest WCC: 2760388 (0.998) Nodes in largest SCC: 1957027 (0.996) Edges in largest SCC: 2760388 (0.998) Average clustering coefficient: 0.0464...
Topic: graph
Source: http://academictorrents.com/details/0fa73e4f646b3e3258e7af3e22d651a2cf342de7
2
2.0
Aug 11, 2020
08/20
by
Kyle Wilson; Noah Snavely
data
eye 2
favorite 0
comment 0
We present a simple, effective method for solving structure from motion problems by averaging epipolar geometries. Based on recent successes in solving for global camera rotations using averaging schemes, we focus on the problem of solving for 3D camera translations given a network of noisy pairwise camera translation directions (or 3D point observations). To do this well, we have two main insights. First, we propose a method for removing outliers from problem instances by solving simpler...
Source: http://academictorrents.com/details/9fba8b6d6323a8eb66b0fee0886f134a16625eef
3
3.0
Feb 11, 2019
02/19
by
Xiang Zhang et al., 2015
data
eye 3
favorite 0
comment 0
2,909,551 news articles from the SogouCA and SogouCS news corpora, in 5 categories. The number of training samples selected for each class is 90,000 and testing 12,000. Note that the Chinese characters have been converted to Pinyin.
Topic: fastai
Source: http://academictorrents.com/details/b2b847b5e1946b0479baa838a0b0547178e5ebe8
2
2.0
Aug 11, 2020
08/20
by
Ariel Ephrat; Inbar Mosseri; Oran Lang; Tali Dekel; Kevin Wilson; Avinatan Hassidim; William T. Freeman; Michael Rubinstein
data
eye 2
favorite 0
comment 0
AVSpeech is a new, large-scale audio-visual dataset comprising speech video clips with no interfering background noises. The segments are 3-10 seconds long, and in each clip the audible sound in the soundtrack belongs to a single speaking person, visible in the video. In total, the dataset contains roughly 4700 hours* of video segments, from a total of 290k YouTube videos, spanning a wide variety of people, languages and face poses. For more details on how we created the dataset see our paper,...
Topics: speech isolation, lip reading, face detection
Source: http://academictorrents.com/details/b078815ca447a3e4d17e8a2a34f13183ec5dec41
2
2.0
data
eye 2
favorite 0
comment 0
Details from the challenge: ## What am I predicting? In this challenge competitors are predicting whether pneumonia exists in a given image. They do so by predicting bounding boxes around areas of the lung. Samples without bounding boxes are negative and contain no definitive evidence of pneumonia. Samples with bounding boxes indicate evidence of pneumonia. When making predictions, competitors should predict as many bounding boxes as they feel are necessary, in the format: confidence x-min...
Source: http://academictorrents.com/details/a0d80e1bb03ef8357d71e058ef9471b4468cd18e
6
6.0
data
eye 6
favorite 0
comment 0
Source: http://academictorrents.com/details/a277728a89b5185b8dccec50f325a2c2adb45eb0
2
2.0
Aug 11, 2020
08/20
by
Adam Ligocki, Ales Jelinek, Ludek Zalud
data
eye 2
favorite 0
comment 0
Navigation and localisation dataset for self driving cars and autonomous robots.
Topics: autonomous driving, mapping, slam
Source: http://academictorrents.com/details/a22844d4573edf4c778300edc556ec0a894b84d2
2
2.0
Aug 4, 2020
08/20
by
Distriploy authors
data
eye 2
favorite 0
comment 0
Distriploy is a small tool handling release deployment
Source: http://academictorrents.com/details/7db2c8afbc2e7724c0afd9c62795e2aa575d0c5e
2
2.0
Aug 11, 2020
08/20
by
Adam Ligocki, Ales Jelinek, Ludek Zalud
data
eye 2
favorite 0
comment 0
Navigation and localisation dataset for self driving cars and autonomous robots.
Topics: autonomous driving, mapping, slam
Source: http://academictorrents.com/details/fd28f9186e238573feb0af0cd96fd973f1ff7974
2
2.0
Aug 11, 2020
08/20
by
Adam Ligocki, Ales Jelinek, Ludek Zalud
data
eye 2
favorite 0
comment 0
Navigation and localisation dataset for self driving cars and autonomous robots.
Topics: autonomous driving, mapping, slam
Source: http://academictorrents.com/details/b017501233527200c04863715cba2bbcd079b138
4
4.0
Aug 12, 2018
08/18
by
UCLA CCVL
data
eye 4
favorite 0
comment 0
This dataset is a set of additional annotations for PASCAL VOC 2010. It goes beyond the original PASCAL object detection task by providing segmentation masks for each body part of the object. For categories that do not have a consistent set of parts (e.g., boat), we provide the silhouette annotation. Statistics Since the dataset is an annotation of the PASCAL VOC 2010, it has the same statistics as those of the original dataset. Training and validation contains 10,103 images while testing...
Topic: PASCAL
Source: http://academictorrents.com/details/f86670296bff85bcdffea6c4fc2e791446f9fb5e
2
2.0
data
eye 2
favorite 0
comment 0
Source: http://academictorrents.com/details/d01554bd7191c90197f3d0ec90718231c0ba957a
2
2.0
Aug 11, 2020
08/20
by
NASA
data
eye 2
favorite 0
comment 0
This global image map of Mars has a resolution of 256 pixels/degree (scale approximately 231 m/pixel at the equator). The colorized mosaic was completed by NASA AMES which warped the original Viking colorized mosaic and blended over the lastest black/white mosaic. This mosaic, known as Colorized Mars Digital Image Model (MDIM) 2.1. The original MDIM2.1, replaces two earlier mosaics produced by the USGS from the same set of approximately 4600 Viking Orbiter images. The positional accuracy of...
Source: http://academictorrents.com/details/c746fd3441d19772627fd36599dc418241d39452
4
4.0
Aug 4, 2020
08/20
by
BraTS
data
eye 4
favorite 0
comment 0
https://i.imgur.com/iONFbKt.gif Volume list (count: 335) ``` HGG/BraTS19_2013_11_1 HGG/BraTS19_2013_12_1 HGG/BraTS19_2013_13_1 HGG/BraTS19_2013_14_1 HGG/BraTS19_2013_17_1 HGG/BraTS19_2013_18_1 HGG/BraTS19_2013_19_1 HGG/BraTS19_2013_20_1 HGG/BraTS19_2013_2_1 HGG/BraTS19_2013_22_1 HGG/BraTS19_2013_23_1 HGG/BraTS19_2013_25_1 HGG/BraTS19_2013_26_1 HGG/BraTS19_2013_27_1 HGG/BraTS19_2013_3_1 HGG/BraTS19_2013_21_1 HGG/BraTS19_2013_4_1 HGG/BraTS19_2013_5_1 HGG/BraTS19_2013_7_1 HGG/BraTS19_CBICA_AAB_1...
Source: http://academictorrents.com/details/82cef583fa17480b0f9a6342591d01dc67abe055
4
4.0
data
eye 4
favorite 0
comment 0
This is a Python pickle of the parameters for a VGG-16 layer model implemented in Lasagne.
Source: http://academictorrents.com/details/854efbd8e2c085e8e0e5fb2d254ed0e21da6008e
3
3.0
Aug 11, 2020
08/20
by
NASA
data
eye 3
favorite 0
comment 0
Version: 11 Release Date: June 23rd, 2010 Resolution: 592.75 ppd Scale: 99.7 mpp Projection: Simple cylindrical, 0E to 360E, 90N to -90N, 'ocentric Total Size: 213391 x 106699 pixels Details: Daytime thermal infrared (12.57um) mosaic. 593 ppd/99m. NASA Mars Odyssey/THEMIS Notes: Gores are filled with black (value=0).
Source: http://academictorrents.com/details/8b89d5825ca251ea355277d1f6e014891aa24875
3
3.0
Aug 11, 2020
08/20
by
K Jimura; E Stover; F Cazalis; R Poldrack
data
eye 3
favorite 0
comment 0
Living-nonliving decision with plain or mirror-reversed text Submitted by picchetti on Sun, 12/23/2012 - 19:16 Subjects performed a living-nonliving decision on items presented in either plain or mirror-reversed text. ds000006A represents the first session and ds000006B represents the second session. Tasks and Conditions: 001 living/nonliving judgment on mirror-reversed and plain-text words 001 Mirror-Switch 002 Mirror-Repeat 003 Plain-Switch 004 Plain-Repeat HideInvestigator Info...
Source: http://academictorrents.com/details/8ace9bab5c6009d3423d0d5d551381a4db0e092b
3
3.0
Feb 11, 2019
02/19
by
Xiang Zhang et al., 2015
data
eye 3
favorite 0
comment 0
40,000 training samples and 5,000 testing samples from 14 nonoverlapping classes from DBpedia 2014.
Topic: fastai
Source: http://academictorrents.com/details/881118da3e05d63f91dbadf84317381203f3cb24
5
5.0
data
eye 5
favorite 0
comment 0
Dataset of two drives from the Udacity office to San Francisco up (and down) El Camino Real, the path of the final drive and where the test sets of Challenges 2 & 3 will take place. Sunny afternoon and evening drives, an attempt was made to stay in the same lane, but obstacles and construction sometimes required lane changes. While this is an official dataset for Challenge 3, it has all required information to be used in Challenge 2. Note, only the center camera feed will be available in...
Source: http://academictorrents.com/details/c9dae89d2e3897e6aa98c0c8196348c444998a2a
2
2.0
Aug 11, 2020
08/20
by
Xue, G.; Poldrack, R.A.
data
eye 2
favorite 0
comment 0
Submitted by picchetti on Thu, 10/06/2011 - 11:48 Subjects were presented with pairs of either words or pseudowords, and made rhyming judgments for each pair. Tasks and Conditions: 001 rhyme verification task 001 Word 002 Pseudoword HideInvestigator Info Investigators: Xue, G. Poldrack, R.A. HideStudy Metadata Sample Size: 13 Scanner Type: TBA HideSharing License: PPDL Accession Number: ds000003
Source: http://academictorrents.com/details/dd259c92c9b28fb7df3d041c9e4a97e20eb0a608
2
2.0
Aug 11, 2020
08/20
by
Oliver Batchelor, Richard Green
data
eye 2
favorite 0
comment 0
Applying deep learning to new domains usually implies a considerable data collection problem. We look at idea of how we can use a partially trained model as an aid to a human annotator. We do this by providing the partially trained model's prediction as a starting point for a human annotator to directly edit. This is demonstrated by applying our ideas to building a small segmentation dataset for labeling trees in a plantation. We also show that by starting with a pre-trained model and...
Topics: segmentation, mask, trees
Source: http://academictorrents.com/details/d8ceccf6d9a57b799003205e0567e630b0ecb90e
2
2.0
Aug 11, 2020
08/20
by
Adam Ligocki, Ales Jelinek, Ludek Zalud
data
eye 2
favorite 0
comment 0
Navigation and localisation dataset for self driving cars and autonomous robots.
Topics: autonomous driving, mapping, slam
Source: http://academictorrents.com/details/9d2a0c4ce2029991de586f903569fdad83bbbfb1
2
2.0
Aug 11, 2020
08/20
by
Adam Ligocki, Ales Jelinek, Ludek Zalud
data
eye 2
favorite 0
comment 0
Navigation and localisation dataset for self driving cars and autonomous robots.
Topics: autonomous driving, mapping, slam
Source: http://academictorrents.com/details/9aa9bada93ea915145d7a22cc4c8934904311d14
5
5.0
Feb 11, 2019
02/19
by
WMT13
data
eye 5
favorite 0
comment 0
Source: http://academictorrents.com/details/e4dc3c28d6035a64af928dbdcbc8d6cc0d62d39c
6
6.0
data
eye 6
favorite 0
comment 0
This dataset includes more than 160,000 images obtained from 67,000 patients that were interpreted and reported by radiologists at Hospital San Juan Hospital (Spain) from 2009 to 2017, covering six different position views and additional information on image acquisition and patient demography. The reports were labeled with 174 different radiographic findings, 19 differential diagnoses and 104 anatomic locations organized as a hierarchical taxonomy and mapped onto standard Unified Medical...
Source: http://academictorrents.com/details/dec12db21d57e158f78621f06dcbe78248d14850
3
3.0
Aug 12, 2018
08/18
by
Statistical Visual Computing Lab
data
eye 3
favorite 0
comment 0
This is the UCSD pedestrian database used in “Modeling, Clustering, and Segmenting Video with Mixtures of Dynamic Textures” ## Database Format The database contains video of pedestrians on UCSD walkways, taken from a stationary camera. All videos are 8-bit grayscale, with dimensions 238 × 158 at 10 fps. The database is split into scenes, taken from different viewpoints (currently, only one scene is available...more are coming). Each scene is in its own directory vidX where X is a letter...
Source: http://academictorrents.com/details/fed43599b7e8e0a0fbe1e22062cdb54d36cf951d
2
2.0
Feb 11, 2019
02/19
by
Nikolaus Mayer; Eddy Ilg; Philip Hausser; Philipp Fischer; Daniel Cremers; Alexey Dosovitskiy; Thomas Brox
data
eye 2
favorite 0
comment 0
This torrent contains the "Final pass" images (WebP format) for the "FlyingThings3D" dataset from the CVPR 2016 paper "A Large Dataset to Train Convolutional Networks for Disparity, Optical Flow, and Scene Flow Estimation" by Mayer et al. (https://lmb.informatik.uni-freiburg.de/resources/datasets/SceneFlowDatasets.en.html).
Topics: disparity, scene flow, optical flow, dataset, synthetic
Source: http://academictorrents.com/details/ebecc3be97d60df0691ef4b4103eaf6e2c344a7d
9
9.0
data
eye 9
favorite 0
comment 0
Source: http://academictorrents.com/details/eaf01bd491ea491f7992f840be2805d73863a95e
2
2.0
Aug 11, 2020
08/20
by
Adam Ligocki, Ales Jelinek, Ludek Zalud
data
eye 2
favorite 0
comment 0
Navigation and localisation dataset for self driving cars and autonomous robots.
Topics: autonomous driving, mapping, slam
Source: http://academictorrents.com/details/e7ec1ac1086a983f35eb0a0842729bb91c980127
3
3.0
Aug 12, 2018
08/18
by
Kulkarni, Tejas D; Whitney, William F; Kohli, Pushmeet; Tenenbaum, Josh
data
eye 3
favorite 0
comment 0
Direct download links for these files are available at https://github.com/willwhitney/dc-ign
Source: http://academictorrents.com/details/dedcdf859969c600e19577029185895160afbf50
2
2.0
data
eye 2
favorite 0
comment 0
# CAMELYON17 Data Set ## Overview Built on the success of its predecessor, CAMELYON17 is the second grand challenge in pathology organised by the [Computational Pathology Group](http://www.diagnijmegen.nl/index.php/Digital_Pathology) of the Radboud University Medical Center (Radboudumc) in Nijmegen, The Netherlands. The goal of this challenge is to evaluate new and existing algorithms for automated detection and classification of breast cancer metastases in whole-slide images of histological...
Source: http://academictorrents.com/details/fa82a73b0903c5a75cf24bc68a980727bb1a807e
7
7.0
Aug 11, 2020
08/20
by
Volodymyr Mnih
data
eye 7
favorite 0
comment 0
"The datasets introduced in Chapter 6 of my PhD thesis are below. See the thesis for more details."
Source: http://academictorrents.com/details/3b17f08ed5027ea24db04f460b7894d913f86c21
8
8.0
Aug 11, 2020
08/20
by
Gleb Basalyga; Magnus Rattray
texts
eye 8
favorite 0
comment 0
Source: http://academictorrents.com/details/3b1322671d42bb6e951a700fad288137dcaefece
4
4.0
Aug 11, 2020
08/20
by
Lior Wolf; Amnon Shashua
texts
eye 4
favorite 0
comment 0
Source: http://academictorrents.com/details/fa48547a07c7bd76260da274c8502ce2a8e2ce0b
8
8.0
Aug 12, 2018
08/18
by
Samo Rauter et al.
data
eye 8
favorite 0
comment 0
Dataset consists of the data produced by nine cyclists. Data were directly exported from their Strava or Garmin Connect accounts. Data format of sport's activities could be written in GPX or TCX form, which are basically the XML formats adapted to specific purposes. From each dataset, many following information can be obtained: GPS location, elevation, duration, distance, average and maximal heart rate, while some workouts include also data obtained from power meters.
Source: http://academictorrents.com/details/aac04fca4cd3b4dcd580e9018d68fa0647b7d908
3
3.0
Aug 11, 2020
08/20
by
Adam Ligocki, Ales Jelinek, Ludek Zalud
data
eye 3
favorite 0
comment 0
Navigation and localisation dataset for self driving cars and autonomous robots.
Topics: autonomous driving, mapping, slam
Source: http://academictorrents.com/details/6e124aadd98e585c6a19233a179b38c37cdee700
23
23
data
eye 23
favorite 0
comment 0
https://github.com/udacity/self-driving-car/tree/master/datasets/CH2
Source: http://academictorrents.com/details/72dfc74e541cb2c53c027d233007808bc42bf103
3
3.0
Aug 11, 2020
08/20
by
Harvard CfA
data
eye 3
favorite 0
comment 0
Source: http://academictorrents.com/details/7608b304c99635e3bbb350dd262631b1e2a124a4
7
7.0
data
eye 7
favorite 0
comment 0
https://github.com/udacity/self-driving-car/tree/master/datasets/CH3
Source: http://academictorrents.com/details/769f5a4641d0d26f64d4b550bdfd88b3f4582b11
13
13
Aug 12, 2018
08/18
by
Sameer Singh; Amarnag Subramanya; Fern; o Pereira; Andrew McCallum
data
eye 13
favorite 0
comment 0
Cross-document coreference resolution is the task of grouping the entity mentions in a collection of documents into sets that each represent a distinct entity. It is central to knowledge base construction and also useful for joint inference with other NLP components. Obtaining large, organic labeled datasets for training and testing cross-document coreference has previously been difficult. We use a method for automatically gathering massive amounts of naturally-occurring cross-document...
Source: http://academictorrents.com/details/689af6f153e097538ad7b8fd4ea3e87ce8f6bc42
3
3.0
Aug 11, 2020
08/20
by
Adam Ligocki, Ales Jelinek, Ludek Zalud
data
eye 3
favorite 0
comment 0
Navigation and localisation dataset for self driving cars and autonomous robots.
Topics: autonomous driving, mapping, slam
Source: http://academictorrents.com/details/6e45cdfc5757744c1d69f43723d73eb4aa578a56
5
5.0
Aug 11, 2020
08/20
by
Istvn Szita; Blint Takcs; Andrs Lrincz
texts
eye 5
favorite 0
comment 0
Source: http://academictorrents.com/details/3634303099110d62a04931a61d765db4eafe994d
4
4.0
Aug 11, 2020
08/20
by
Dirk Gorissen; Tom Dhaene; Filip De Turck
texts
eye 4
favorite 0
comment 0
Source: http://academictorrents.com/details/2dc016a42d36912d559e9896404a8afd43ccf47e
5
5.0
data
eye 5
favorite 0
comment 0
### Description of the biological application Malaria is a disease caused by Plasmodium parasites that remains a major threat in global health, affecting 200 million people and causing 400,000 deaths a year. The main species of malaria that affect humans are Plasmodium falciparum and Plasmodium vivax. For malaria as well as other microbial infections, manual inspection of thick and thin blood smears by trained microscopists remains the gold standard for parasite detection and stage...
Source: http://academictorrents.com/details/2fed90eeaa0fbf98aba474c5d7e56f6290121507
15
15
data
eye 15
favorite 0
comment 0
Source: http://academictorrents.com/details/2a4e272c4fd06abc3b3ee022fd2fd9e220b37c33
8
8.0
Feb 11, 2019
02/19
by
Qure.ai
data
eye 8
favorite 0
comment 0
CQ500 dataset of 491 Computed tomography scans with 193,317 slices Anonymized dicoms for all the scans and the corresponding radiologists' reads. 
Source: http://academictorrents.com/details/47e9d8aab761e75fd0a81982fa62bddf3a173831
4
4.0
data
eye 4
favorite 0
comment 0
Source: http://academictorrents.com/details/4bf5654081416a38dcd4d31c17e59a6ced8d838c
16
16
Aug 12, 2018
08/18
by
Idio
data
eye 16
favorite 0
comment 0
Gensim Word2vec model built on the english wikipedia, 1000dimensions, 10cbow, no stemming
Topics: Wikipedia, nlp, word2vec, english, gensim, deeplearning, natural language, wiki
Source: http://academictorrents.com/details/5d18911e7036870197bf5e23cf1be96d3353518a
4
4.0
data
eye 4
favorite 0
comment 0
Source: http://academictorrents.com/details/3ba4d1ce2ec3a2e1e0672097f42010ccdb2036cb
4
4.0
Aug 11, 2020
08/20
by
Gwenolé Quellec; Hassan Al Hajj; Pierre-Henri Conze; Mathieu Lamard; Béatrice Cochener
data
eye 4
favorite 0
comment 0
Surgical tool detection is attracting increasing attention from the medical image processing community. The goal generally is not to precisely locate tools in images, but rather to indicate which tools are being used by the surgeon at each instant. The main motivation for annotating tool usage is to design efficient solutions for surgical workflow analysis, with potential applications in report generation, surgical training and real-time decision support. In 2017, we organized a challenge on...
Topics: video, surgery, ophthalmology, tool detection
Source: http://academictorrents.com/details/67e1713d9be71af6e50246479366c9288f0c6b21
6
6.0
Aug 11, 2020
08/20
by
1000 Genomes Project
data
eye 6
favorite 0
comment 0
Variant count files storing genetic variation across 1092 complete human genomes
Source: http://academictorrents.com/details/648ded078fbdfec60ce1c30e7f699624f6b05c7a
6
6.0
Aug 11, 2020
08/20
by
Zeber, David; Bird, Sarah; Oliveira, Camila; Rudametkin, Walter; Segall, Ilana; Wolls\'{e}n, Fredrik; Lopatka, Martin
data
eye 6
favorite 0
comment 0
Large-scale Web crawls have emerged as the state of the art for studying characteristics of the Web. In particular, they are a core tool for online tracking research. Web crawling is an attractive approach to data collection, as crawls can be run at relatively low infrastructure cost and don’t require handling sensitive user data such as browsing histories. However, the biases introduced by using crawls as a proxy for human browsing data have not been well studied. Crawls may fail to capture...
Topics: Web Crawling, Online Privacy, Tracking, Browser Fingerprinting, World Wide Web
Source: http://academictorrents.com/details/5e9ef2b5531ce3b965681be6eccab1fbd114af62
8
8.0
Feb 11, 2019
02/19
by
Open i
data
eye 8
favorite 0
comment 0
1000 radiology reports for the chest x-ray images from the Indiana University hospital network. To identify images associated with the reports, use XML tag . More than one image could be associated with a report) https://i.imgur.com/5uR5snH.png
Source: http://academictorrents.com/details/5a3a439df24931f410fac269b87b050203d9467d
6
6.0
Feb 11, 2019
02/19
by
Nikolaus Mayer; Eddy Ilg; Philip Hausser; Philipp Fischer; Daniel Cremers; Alexey Dosovitskiy; Thomas Brox
data
eye 6
favorite 0
comment 0
This torrent contains the "Disparity" data for the DispNet/FlowNet2.0 subset of the "FlyingThings3D" dataset from the CVPR 2016 paper "A Large Dataset to Train Convolutional Networks for Disparity, Optical Flow, and Scene Flow Estimation" by Mayer et al. (https://lmb.informatik.uni-freiburg.de/resources/datasets/SceneFlowDatasets.en.html).
Topics: Dataset, optical flow, synthetic, disparity, scene flow
Source: http://academictorrents.com/details/4ef721c60242c3a509383335bac038754473adff
4
4.0
Aug 11, 2020
08/20
by
NOAA's National Climatic Data Center
data
eye 4
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This contains ISH/ISD data in directories by year. Please note that ISH and ISD refer to the same data--Integrated Surface Data, sometimes called Integrated Surface Hourly. The filenames correspond with the station numbers listed in the ish-history.txt file described below -- eg, 723150-03812-2006 corresponds with USAF number 723150 and WBAN number 03812.
Source: http://academictorrents.com/details/520dfb5de9d364e3b99fa7d88c30edd41d9309f2
6
6.0
Aug 11, 2020
08/20
by
dHCP consortium
data
eye 6
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comment 0
Topic: dhcp
Source: http://academictorrents.com/details/515e2989eedc853a8e256424de112f6f48f10d80
11
11
Jul 30, 2018
07/18
by
Cesar Roberto de Souza; Adrien Gaidon; Yohann Cabon; Antonio Manuel Lopez Pena
data
eye 11
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Procedural Human Action Videos (PHAV) ------------------------------------- This torrent contains the Procedural Human Action Videos (PHAV) dataset. This version of the dataset contains 39,982 videos that have been generated by a computer. The dataset is made available under the Creative Commons BY-NC-SA (Attribution-NonCommercial-ShareAlike 4.0 International) license. This sub- directory contains the Post-processed RGB data modality of these videos. A human-readable version of the license...
Topics: deep learning, action recognition, procedural generation, video classification
Source: http://academictorrents.com/details/7a8b49530d40331d4fbdf0511844d52996683196
7
7.0
Aug 11, 2020
08/20
by
Richard Ralph
data
eye 7
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Here are the first shapes from each class in the MPEG-7 Core Experiment CE-Shape-1 Test Set. MPEG-7 Core Experiment CE-Shape-1 [?] is a popular database for shape matching evaluation consisting of 70 shape categories, where each category is represented by 20 different images with high intra-class variability. The shapes are defined by a binary mask outlining the objects. The evaluation protocol for this retrieval task is the bullseye rating, in which each image is used as reference and compared...
Source: http://academictorrents.com/details/0f9ac75f2d9e2ce2ef7b800aa23882915f4e31fa
4
4.0
Aug 11, 2020
08/20
by
Simon Gnter; Nicol N. Schraudolph; S. V. N. Vishwanathan
texts
eye 4
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comment 0
Source: http://academictorrents.com/details/a63f5649a1288237c6f5d3904c1999a8c889ab90
4
4.0
Aug 11, 2020
08/20
by
Djoerd Hiemstra
data
eye 4
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Anchor texts extracted from ClueWeb12 https://djoerdhiemstra.com/2013/anchor-text-for-clueweb12/
Topics: TREC, ClueWeb, HTML, web data, anchor texts, web search, Text Retrieval Conference, Univeristy of...
Source: http://academictorrents.com/details/8ecbbc8360a2d8b6438000ebf257ed06e2eaeb20
17
17
Aug 12, 2018
08/18
by
Outerra
data
eye 17
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Note: to use Outerra Tech Demo without internet connection, run "outerra.exe -demo" from the command line. At the moment this only works with the demo mode, for full mode you have to have internet connection.
Source: http://academictorrents.com/details/f8daca10d620cb3a5d9554c79b8e640361e8696d
13
13
Aug 4, 2020
08/20
by
Antonio Torralba; Rob Fergus; William T Freeman
data
eye 13
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comment 0
With the advent of the Internet, billions of images are now freely available online and constitute a dense sampling of the visual world. Using a variety of non-parametric methods, we explore this world with the aid of a large dataset of 79,302,017 images collected from the Internet. Motivated by psychophysical results showing the remarkable tolerance of the human visual system to degradations in image resolution, the images in the dataset are stored as 32 x 32 color images. Each image is...
Source: http://academictorrents.com/details/325fc900c2c7bb7a0cfcfd45851a65c2f5b5391d
3
3.0
Aug 11, 2020
08/20
by
Arto Klami; Seppo Virtanen; Samuel Kaski
texts
eye 3
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comment 0
Source: http://academictorrents.com/details/eee108e08076ee344aa51cdfc9734c797120602e
5
5.0
Aug 11, 2020
08/20
by
Zhihua Zhang; Dehua Liu; Guang Dai; Michael I. Jordan
texts
eye 5
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comment 0
Source: http://academictorrents.com/details/ee7e4e81f3992cbd660a706564c90dfbe7600ed1
4
4.0
Aug 11, 2020
08/20
by
Holger Hfling; Robert Tibshirani
texts
eye 4
favorite 0
comment 0
Source: http://academictorrents.com/details/821b0dafee4af63753f358d0e28ade1c0dbaba07
12
12
Jul 30, 2018
07/18
by
Geofabrik, OSM
data
eye 12
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comment 0
Topics: Roads, Speed Limit, PBF, OSM, Geofabrik, GIS, North America
Source: http://academictorrents.com/details/0a853fdcc1d28c306d75e29195a5536087f6e2b4
4
4.0
Aug 11, 2020
08/20
by
Ariel Elbaz; Homin K. Lee; Rocco A. Servedio; Andrew Wan
texts
eye 4
favorite 0
comment 0
Source: http://academictorrents.com/details/b591e6306d970a3db3a2d7217a4d2ddf38516707
8
8.0
Aug 11, 2020
08/20
by
Shinichi Nakajima; Masashi Sugiyama
texts
eye 8
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comment 0
Source: http://academictorrents.com/details/15fe36f7944a8d40c7e3dbdb9c3cb2c94ffabdc2
6
6.0
Aug 12, 2018
08/18
by
Matthew Johnson-Roberson; Charles Barto; Rounak Mehta; Sharath Nittur Sridhar; Karl Rosaen; Ram Vasudevan
data
eye 6
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Deep learning has rapidly transformed the state of the art algorithms used to address a variety of problems in computer vision and robotics. These breakthroughs have relied upon massive amounts of human annotated training data. This time consuming process has begun impeding the progress of these deep learning efforts. This paper describes a method to incorporate photo-realistic computer images from a simulation engine to rapidly generate annotated data that can be used for the training of...
Topics: ai, ml, computer vision, vision
Source: http://academictorrents.com/details/cd01e6d3fc93ad2c48f779cb356715c6794614e1
9
9.0
Aug 11, 2020
08/20
by
Vit Listik
data
eye 9
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comment 0
The problem with email image spam classification is known from the year 2005. There are several approaches to this task. Lately, those approaches use convolutional neural networks (CNN). We propose a novel approach to the image spam classification task. Our approach is based on CNN and transfer learning, namely Resnet v1 used for semantic feature extraction and one layer Feedforward Neural Network for classification. We have shown that this approach can achieve state-of-the-art performance on...
Topic: email image spam embedding annotated
Source: http://academictorrents.com/details/06f2389082e9c034fa4a73aaee00131a27e388b6
35
35
Aug 12, 2018
08/18
by
Mahendra Kumar Trivedi; Rama Mohan Tallapragada; Alice Branton; Dahryn Trivedi; Gopal Nayak; Omprakash Latiyal; Snehasis Jana
texts
eye 35
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Barium calcium tungsten oxide (Ba2CaWO6) is known for its double perovskite-type crystal structure. The present study was designed to see the effect of biofield energy treatment on physical, atomic, and structural properties of Ba2CaWO6. In this study, Ba2CaWO6 powder sample was divided into two parts, one part was remained as untreated, denoted as control, while the other part was subjected to Mr. Trivedi’s biofield energy treatment and coded as treated. After that, the control and treated...
Topics: X-ray diffraction, Surface area, Fourier transform infrared spectroscopy, Biofield Energy...
Source: http://academictorrents.com/details/4507ca7619c084ffaefb6fb10ff4f8afd6180aca
11
11
Aug 11, 2020
08/20
by
Ryan M. Rifkin; Ross A. Lippert
texts
eye 11
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comment 0
Source: http://academictorrents.com/details/465d5a852f238ee8a686c9cbaab84f447477c45d
11
11
Aug 11, 2020
08/20
by
Ya Xue; Xuejun Liao; Lawrence Carin; Balaji Krishnapuram
texts
eye 11
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Source: http://academictorrents.com/details/38cf8e6441722f7ca42d2c2c28fe8248e2f55472
