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ImageNet Large Scale Visual Recognition Challenge
v1v2v3 (latest)

ImageNet Large Scale Visual Recognition Challenge

International Journal of Computer Vision (IJCV), 2014
1 September 2014
Olga Russakovsky
Gaowen Liu
Hao Su
J. Krause
S. Satheesh
Sean Ma
Zhiheng Huang
A. Karpathy
A. Khosla
Michael S. Bernstein
Alexander C. Berg
Li Fei-Fei
    VLMObjD
ArXiv (abs)PDFHTML

Papers citing "ImageNet Large Scale Visual Recognition Challenge"

50 / 12,942 papers shown
Title
A ReLU Dense Layer to Improve the Performance of Neural Networks
A ReLU Dense Layer to Improve the Performance of Neural Networks
Alireza M. Javid
Sandipan Das
Mikael Skoglund
Saikat Chatterjee
149
39
0
22 Oct 2020
F-Siamese Tracker: A Frustum-based Double Siamese Network for 3D Single
  Object Tracking
F-Siamese Tracker: A Frustum-based Double Siamese Network for 3D Single Object Tracking
Hao Zou
Jinhao Cui
Xin Kong
Chujuan Zhang
Yong Liu
Feng Wen
Wanlong Li
3DPC
159
26
0
22 Oct 2020
Efficient Scale-Permuted Backbone with Learned Resource Distribution
Efficient Scale-Permuted Backbone with Learned Resource Distribution
Xianzhi Du
Nayeon Lee
Pengchong Jin
Huayu Chen
Mingxing Tan
Quoc V. Le
Xiaodan Song
113
3
0
22 Oct 2020
PHEW: Constructing Sparse Networks that Learn Fast and Generalize Well
  without Training Data
PHEW: Constructing Sparse Networks that Learn Fast and Generalize Well without Training Data
S. M. Patil
C. Dovrolis
225
26
0
22 Oct 2020
Black-Box Ripper: Copying black-box models using generative evolutionary
  algorithms
Black-Box Ripper: Copying black-box models using generative evolutionary algorithms
Antonio Bărbălău
Adrian Cosma
Radu Tudor Ionescu
Marius Popescu
MIACVMLAU
180
48
0
21 Oct 2020
Neural Networks for Entity Matching: A Survey
Neural Networks for Entity Matching: A Survey
Nils Barlaug
J. Gulla
261
117
0
21 Oct 2020
LCD -- Line Clustering and Description for Place Recognition
LCD -- Line Clustering and Description for Place RecognitionInternational Conference on 3D Vision (3DV), 2020
Felix Taubner
Florian Tschopp
Tonci Novkovic
Roland Siegwart
Fadri Furrer
114
19
0
21 Oct 2020
ApproxDet: Content and Contention-Aware Approximate Object Detection for
  Mobiles
ApproxDet: Content and Contention-Aware Approximate Object Detection for MobilesACM International Conference on Embedded Networked Sensor Systems (SenSys), 2020
Ran Xu
Chen-Da Liu-Zhang
Pengcheng Wang
Jayoung Lee
Subrata Mitra
Somali Chaterji
Yin Li
S. Bagchi
106
67
0
21 Oct 2020
Boosting Gradient for White-Box Adversarial Attacks
Boosting Gradient for White-Box Adversarial Attacks
Hongying Liu
Zhenyu Zhou
Fanhua Shang
Xiaoyu Qi
Yuanyuan Liu
L. Jiao
AAML
98
9
0
21 Oct 2020
Promoting High Diversity Ensemble Learning with EnsembleBench
Promoting High Diversity Ensemble Learning with EnsembleBenchInternational Conference on Cognitive Machine Intelligence (ICCMI), 2020
Yanzhao Wu
Ling Liu
Zhongwei Xie
Juhyun Bae
Ka-Ho Chow
Wenqi Wei
119
12
0
20 Oct 2020
"Healthy surveillance": Designing a concept for privacy-preserving mask
  recognition AI in the age of pandemics
"Healthy surveillance": Designing a concept for privacy-preserving mask recognition AI in the age of pandemicsHawaii International Conference on System Sciences (HICSS), 2020
Niklas Kühl
Dominik Martin
C. Wolff
M. Volkamer
104
5
0
20 Oct 2020
BYOL works even without batch statistics
BYOL works even without batch statistics
Pierre Harvey Richemond
Jean-Bastien Grill
Florent Altché
Corentin Tallec
Florian Strub
...
Samuel L. Smith
Soham De
Razvan Pascanu
Bilal Piot
Michal Valko
SSL
443
120
0
20 Oct 2020
TTPLA: An Aerial-Image Dataset for Detection and Segmentation of
  Transmission Towers and Power Lines
TTPLA: An Aerial-Image Dataset for Detection and Segmentation of Transmission Towers and Power LinesAsian Conference on Computer Vision (ACCV), 2020
R. Abdelfattah
Xiang Wang
Song Wang
ViT
173
93
0
20 Oct 2020
PseudoSeg: Designing Pseudo Labels for Semantic Segmentation
PseudoSeg: Designing Pseudo Labels for Semantic SegmentationInternational Conference on Learning Representations (ICLR), 2020
Yuliang Zou
Zizhao Zhang
Han Zhang
Chun-Liang Li
Xiao Bian
Jia-Bin Huang
Tomas Pfister
314
343
0
19 Oct 2020
Verifying the Causes of Adversarial Examples
Verifying the Causes of Adversarial ExamplesInternational Conference on Pattern Recognition (ICPR), 2020
Honglin Li
Yifei Fan
F. Ganz
A. Yezzi
Payam Barnaghi
AAML
130
4
0
19 Oct 2020
Learning to Reconstruct and Segment 3D Objects
Learning to Reconstruct and Segment 3D Objects
Bo Yang
3DPC
167
1
0
19 Oct 2020
Teacher-Student Competition for Unsupervised Domain Adaptation
Teacher-Student Competition for Unsupervised Domain AdaptationInternational Conference on Pattern Recognition (ICPR), 2020
Ruixin Xiao
Zhilei Liu
Baoyuan Wu
100
3
0
19 Oct 2020
A Versatile Crack Inspection Portable System based on Classifier
  Ensemble and Controlled Illumination
A Versatile Crack Inspection Portable System based on Classifier Ensemble and Controlled IlluminationInternational Conference on Pattern Recognition (ICPR), 2020
Milind G. Padalkar
Carlos Beltrán-González
Matteo Bustreo
Alessio Del Bue
Vittorio Murino
148
4
0
19 Oct 2020
CLAR: Contrastive Learning of Auditory Representations
CLAR: Contrastive Learning of Auditory RepresentationsInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2020
Haider Al-Tahan
Y. Mohsenzadeh
SSL
337
66
0
19 Oct 2020
Softer Pruning, Incremental Regularization
Softer Pruning, Incremental RegularizationInternational Conference on Pattern Recognition (ICPR), 2020
Linhang Cai
Zhulin An
Chuanguang Yang
Yongjun Xu
125
22
0
19 Oct 2020
Synthesizing the Unseen for Zero-shot Object Detection
Synthesizing the Unseen for Zero-shot Object DetectionAsian Conference on Computer Vision (ACCV), 2020
Nasir Hayat
Munawar Hayat
Shafin Rahman
Salman Khan
Syed Waqas Zamir
Fahad Shahbaz Khan
VLMObjD
324
65
0
19 Oct 2020
Image Captioning with Visual Object Representations Grounded in the
  Textual Modality
Image Captioning with Visual Object Representations Grounded in the Textual Modality
Duvsan Varivs
Katsuhito Sudoh
Satoshi Nakamura
160
1
0
19 Oct 2020
Poisoned classifiers are not only backdoored, they are fundamentally
  broken
Poisoned classifiers are not only backdoored, they are fundamentally broken
Mingjie Sun
Siddhant Agarwal
J. Zico Kolter
241
26
0
18 Oct 2020
Image-based Automated Species Identification: Can Virtual Data
  Augmentation Overcome Problems of Insufficient Sampling?
Image-based Automated Species Identification: Can Virtual Data Augmentation Overcome Problems of Insufficient Sampling?Systematic Biology (Syst. Biol.), 2020
Morris Klasen
D. Ahrens
J. Eberle
Volker Steinhage
130
22
0
18 Oct 2020
DLWIoT: Deep Learning-based Watermarking for Authorized IoT Onboarding
DLWIoT: Deep Learning-based Watermarking for Authorized IoT OnboardingConsumer Communications and Networking Conference (CCNC), 2020
Spyridon Mastorakis
Agnibh Dasgupta
Pei-Chi Huang
R. Tourani
123
15
0
18 Oct 2020
A generalized deep learning model for multi-disease Chest X-Ray
  diagnostics
A generalized deep learning model for multi-disease Chest X-Ray diagnosticsInternational Work-Conference on Artificial and Natural Neural Networks (IWANN), 2020
Nabit A. Bajwa
Kedar Bajwa
A. Rana
Muhammad Faique Shakeel
K. Haqqi
Suleiman A. Khan
OOD
77
0
0
17 Oct 2020
Understanding Information Processing in Human Brain by Interpreting
  Machine Learning Models
Understanding Information Processing in Human Brain by Interpreting Machine Learning Models
Ilya Kuzovkin
HAI
81
2
0
17 Oct 2020
Active Domain Adaptation via Clustering Uncertainty-weighted Embeddings
Active Domain Adaptation via Clustering Uncertainty-weighted EmbeddingsIEEE International Conference on Computer Vision (ICCV), 2020
Viraj Prabhu
Arjun Chandrasekaran
Kate Saenko
Judy Hoffman
OOD
260
152
0
16 Oct 2020
Zoom-CAM: Generating Fine-grained Pixel Annotations from Image Labels
Zoom-CAM: Generating Fine-grained Pixel Annotations from Image LabelsInternational Conference on Pattern Recognition (ICPR), 2020
Xiangwei Shi
Seyran Khademi
Yun-qiang Li
Jan van Gemert
VLMWSOL
213
23
0
16 Oct 2020
Towards Accurate Knowledge Transfer via Target-awareness Representation
  Disentanglement
Towards Accurate Knowledge Transfer via Target-awareness Representation DisentanglementMachine-mediated learning (ML), 2020
Xingjian Li
Di Hu
Xuhong Li
Haoyi Xiong
Zhiquan Ye
Zhipeng Wang
Chengzhong Xu
Dejing Dou
AAML
86
2
0
16 Oct 2020
SidechainNet: An All-Atom Protein Structure Dataset for Machine Learning
SidechainNet: An All-Atom Protein Structure Dataset for Machine Learning
J. E. King
D. Koes
118
21
0
16 Oct 2020
The Deep Bootstrap Framework: Good Online Learners are Good Offline
  Generalizers
The Deep Bootstrap Framework: Good Online Learners are Good Offline Generalizers
Preetum Nakkiran
Behnam Neyshabur
Hanie Sedghi
OffRL
211
11
0
16 Oct 2020
FPRaker: A Processing Element For Accelerating Neural Network Training
FPRaker: A Processing Element For Accelerating Neural Network Training
Omar Mohamed Awad
Mostafa Mahmoud
Isak Edo Vivancos
Ali Hadi Zadeh
Ciaran Bannon
Anand Jayarajan
Gennady Pekhimenko
Andreas Moshovos
153
15
0
15 Oct 2020
QReLU and m-QReLU: Two novel quantum activation functions to aid medical
  diagnostics
QReLU and m-QReLU: Two novel quantum activation functions to aid medical diagnostics
Luca Parisi
D. Neagu
R. Ma
F. Campean
MedIm
97
58
0
15 Oct 2020
Bilevel Optimization: Convergence Analysis and Enhanced Design
Bilevel Optimization: Convergence Analysis and Enhanced Design
Kaiyi Ji
Junjie Yang
Yingbin Liang
463
309
0
15 Oct 2020
Room-Across-Room: Multilingual Vision-and-Language Navigation with Dense
  Spatiotemporal Grounding
Room-Across-Room: Multilingual Vision-and-Language Navigation with Dense Spatiotemporal Grounding
Alexander Ku
Peter Anderson
Roma Patel
Eugene Ie
Jason Baldridge
209
400
0
15 Oct 2020
Representation Learning via Invariant Causal Mechanisms
Representation Learning via Invariant Causal Mechanisms
Jovana Mitrović
Brian McWilliams
Jacob Walker
Lars Buesing
Charles Blundell
CMLOODSSL
176
271
0
15 Oct 2020
An Empirical Analysis of Visual Features for Multiple Object Tracking in
  Urban Scenes
An Empirical Analysis of Visual Features for Multiple Object Tracking in Urban Scenes
Mehdi Miah
J. Pepin
Nicolas Saunier
Guillaume-Alexandre Bilodeau
VOT
138
5
0
15 Oct 2020
Object Tracking Using Spatio-Temporal Future Prediction
Object Tracking Using Spatio-Temporal Future Prediction
Yuan Liu
Ruoteng Li
R. Tan
Yu-Feng Cheng
Xiubao Sui
135
1
0
15 Oct 2020
MOTChallenge: A Benchmark for Single-Camera Multiple Target Tracking
MOTChallenge: A Benchmark for Single-Camera Multiple Target Tracking
Patrick Dendorfer
Aljosa Osep
Anton Milan
Konrad Schindler
Zorah Lähner
Ian Reid
Stefan Roth
Laura Leal-Taixé
VOT
247
303
0
15 Oct 2020
AdaBelief Optimizer: Adapting Stepsizes by the Belief in Observed
  Gradients
AdaBelief Optimizer: Adapting Stepsizes by the Belief in Observed Gradients
Juntang Zhuang
Tommy M. Tang
Yifan Ding
S. Tatikonda
Nicha Dvornek
X. Papademetris
James S. Duncan
ODL
700
595
0
15 Oct 2020
Data Augmentation for Meta-Learning
Data Augmentation for Meta-Learning
Renkun Ni
Micah Goldblum
Amr Sharaf
Kezhi Kong
Tom Goldstein
189
86
0
14 Oct 2020
Identifying Wrongly Predicted Samples: A Method for Active Learning
Identifying Wrongly Predicted Samples: A Method for Active Learning
Rahaf Aljundi
N. Chumerin
Daniel Olmeda Reino
103
8
0
14 Oct 2020
GreedyFool: Multi-Factor Imperceptibility and Its Application to
  Designing a Black-box Adversarial Attack
GreedyFool: Multi-Factor Imperceptibility and Its Application to Designing a Black-box Adversarial Attack
Hui Liu
Bo Zhao
Minzhi Ji
Peng Liu
AAML
173
8
0
14 Oct 2020
Random Network Distillation as a Diversity Metric for Both Image and
  Text Generation
Random Network Distillation as a Diversity Metric for Both Image and Text Generation
Liam H. Fowl
Micah Goldblum
Arjun Gupta
Amr Sharaf
Tom Goldstein
EGVM
134
3
0
13 Oct 2020
Video Action Understanding
Video Action Understanding
Matthew Hutchinson
V. Gadepally
316
27
0
13 Oct 2020
On Deep Learning Techniques to Boost Monocular Depth Estimation for
  Autonomous Navigation
On Deep Learning Techniques to Boost Monocular Depth Estimation for Autonomous Navigation
R. Q. Mendes
E. G. Ribeiro
N. D. S. Rosa
V. Grassi
MDE
268
49
0
13 Oct 2020
Can Federated Learning Save The Planet?
Can Federated Learning Save The Planet?
Xinchi Qiu
Titouan Parcollet
Daniel J. Beutel
Taner Topal
Akhil Mathur
Nicholas D. Lane
299
96
0
13 Oct 2020
Cross-Domain Few-Shot Learning by Representation Fusion
Cross-Domain Few-Shot Learning by Representation Fusion
Thomas Adler
Johannes Brandstetter
Michael Widrich
Andreas Mayr
David P. Kreil
Michael K Kopp
Günter Klambauer
Sepp Hochreiter
OOD
163
49
0
13 Oct 2020
Making Every Label Count: Handling Semantic Imprecision by Integrating
  Domain Knowledge
Making Every Label Count: Handling Semantic Imprecision by Integrating Domain Knowledge
C. Brust
Björn Barz
Joachim Denzler
NoLa
150
6
0
13 Oct 2020
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