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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 / 12,988 papers shown
Title
Rationally Inattentive Utility Maximization for Interpretable Deep Image
  Classification
Rationally Inattentive Utility Maximization for Interpretable Deep Image Classification
Kunal Pattanayak
Vikram Krishnamurthy
101
0
0
09 Feb 2021
Colorization Transformer
Colorization TransformerInternational Conference on Learning Representations (ICLR), 2021
Manoj Kumar
Dirk Weissenborn
Nal Kalchbrenner
ViT
575
164
0
08 Feb 2021
The Multi-Temporal Urban Development SpaceNet Dataset
The Multi-Temporal Urban Development SpaceNet DatasetComputer Vision and Pattern Recognition (CVPR), 2021
A. V. Etten
Daniel Hogan
J. Martinez-Manso
Jacob Shermeyer
N. Weir
Ryan Lewis
126
89
0
08 Feb 2021
Counting and Locating High-Density Objects Using Convolutional Neural
  Network
Counting and Locating High-Density Objects Using Convolutional Neural NetworkExpert systems with applications (ESWA), 2021
Mauro dos Santos de Arruda
L. Osco
Plabiany Rodrigo Acosta
D. Gonçalves
J. M. Junior
...
E. Matsubara
Zhipeng Luo
Jonathan Li
J. Silva
W. Gonçalves
179
20
0
08 Feb 2021
Deep Residual Learning in Spiking Neural Networks
Deep Residual Learning in Spiking Neural NetworksNeural Information Processing Systems (NeurIPS), 2021
Wei Fang
Zhaofei Yu
Yanqing Chen
Tiejun Huang
T. Masquelier
Yonghong Tian
510
647
0
08 Feb 2021
Efficient Certified Defenses Against Patch Attacks on Image Classifiers
Efficient Certified Defenses Against Patch Attacks on Image ClassifiersInternational Conference on Learning Representations (ICLR), 2021
J. H. Metzen
Maksym Yatsura
AAML
103
48
0
08 Feb 2021
Quantifying and Mitigating Privacy Risks of Contrastive Learning
Quantifying and Mitigating Privacy Risks of Contrastive LearningConference on Computer and Communications Security (CCS), 2021
Xinlei He
Yang Zhang
239
58
0
08 Feb 2021
Mitigating belief projection in explainable artificial intelligence via
  Bayesian Teaching
Mitigating belief projection in explainable artificial intelligence via Bayesian TeachingScientific Reports (Sci Rep), 2021
Scott Cheng-Hsin Yang
Wai Keen Vong
Ravi B. Sojitra
Tomas Folke
Patrick Shafto
173
43
0
07 Feb 2021
Adversarial example generation with AdaBelief Optimizer and Crop
  Invariance
Adversarial example generation with AdaBelief Optimizer and Crop Invariance
Bo Yang
Hengwei Zhang
Yuchen Zhang
Kaiyong Xu
Jin-dong Wang
AAML
94
34
0
07 Feb 2021
HGAN: Hybrid Generative Adversarial Network
HGAN: Hybrid Generative Adversarial NetworkJournal of Intelligent & Fuzzy Systems (JIFS), 2021
Seyed Mehdi Iranmanesh
Nasser M. Nasrabadi
GAN
102
4
0
07 Feb 2021
Sill-Net: Feature Augmentation with Separated Illumination
  Representation
Sill-Net: Feature Augmentation with Separated Illumination Representation
Hanwang Zhang
Zhong Cao
Ziang Yan
Changshui Zhang
264
28
0
06 Feb 2021
Open-World Semi-Supervised Learning
Open-World Semi-Supervised LearningInternational Conference on Learning Representations (ICLR), 2021
Kaidi Cao
Maria Brbic
J. Leskovec
BDL
298
230
0
06 Feb 2021
IC Networks: Remodeling the Basic Unit for Convolutional Neural Networks
IC Networks: Remodeling the Basic Unit for Convolutional Neural Networks
Junyi An
Fengshan Liu
Jian Zhao
S. Furao
110
1
0
06 Feb 2021
ViLT: Vision-and-Language Transformer Without Convolution or Region
  Supervision
ViLT: Vision-and-Language Transformer Without Convolution or Region SupervisionInternational Conference on Machine Learning (ICML), 2021
Wonjae Kim
Bokyung Son
Ildoo Kim
VLMCLIP
507
2,075
0
05 Feb 2021
Topology-Aware Network Pruning using Multi-stage Graph Embedding and
  Reinforcement Learning
Topology-Aware Network Pruning using Multi-stage Graph Embedding and Reinforcement LearningInternational Conference on Machine Learning (ICML), 2021
Sixing Yu
Arya Mazaheri
Ali Jannesari
214
50
0
05 Feb 2021
Deep Texture-Aware Features for Camouflaged Object Detection
Deep Texture-Aware Features for Camouflaged Object Detection
Jingjing Ren
Xiaowei Hu
Lei Zhu
Xuemiao Xu
Yangyang Xu
Weiming Wang
Zijun Deng
Pheng-Ann Heng
ObjD
217
147
0
05 Feb 2021
Structure-aware Person Image Generation with Pose Decomposition and
  Semantic Correlation
Structure-aware Person Image Generation with Pose Decomposition and Semantic CorrelationAAAI Conference on Artificial Intelligence (AAAI), 2021
Jilin Tang
Yi Yuan
Tianjia Shao
Yong Liu
Mengmeng Wang
Kun Zhou
3DH
72
22
0
05 Feb 2021
1-bit Adam: Communication Efficient Large-Scale Training with Adam's
  Convergence Speed
1-bit Adam: Communication Efficient Large-Scale Training with Adam's Convergence SpeedInternational Conference on Machine Learning (ICML), 2021
Hanlin Tang
Shaoduo Gan
A. A. Awan
Samyam Rajbhandari
Conglong Li
Xiangru Lian
Ji Liu
Ce Zhang
Yuxiong He
AI4CE
255
97
0
04 Feb 2021
A Deeper Look into Convolutions via Eigenvalue-based Pruning
A Deeper Look into Convolutions via Eigenvalue-based Pruning
Ilke Çugu
Emre Akbas
FAtt
115
2
0
04 Feb 2021
Variational Inference for Deblending Crowded Starfields
Variational Inference for Deblending Crowded StarfieldsJournal of machine learning research (JMLR), 2021
Runjing Liu
Jon D. McAuliffe
Jeffrey Regier
BDL
191
11
0
04 Feb 2021
Local Critic Training for Model-Parallel Learning of Deep Neural
  Networks
Local Critic Training for Model-Parallel Learning of Deep Neural NetworksIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021
Hojung Lee
Cho-Jui Hsieh
Jong-Seok Lee
117
16
0
03 Feb 2021
Learning domain-agnostic visual representation for computational
  pathology using medically-irrelevant style transfer augmentation
Learning domain-agnostic visual representation for computational pathology using medically-irrelevant style transfer augmentationIEEE Transactions on Medical Imaging (IEEE TMI), 2021
R. Yamashita
J. Long
Snikitha Banda
Jeanne Shen
D. Rubin
OODMedIm
129
60
0
02 Feb 2021
Generating images from caption and vice versa via CLIP-Guided Generative
  Latent Space Search
Generating images from caption and vice versa via CLIP-Guided Generative Latent Space SearchInternational Conference on Image Processing and Vision Engineering (ICIPVE), 2021
Federico A. Galatolo
M. G. Cimino
G. Vaglini
VLM
328
92
0
02 Feb 2021
Occluded Video Instance Segmentation: A Benchmark
Occluded Video Instance Segmentation: A BenchmarkInternational Journal of Computer Vision (IJCV), 2021
Jiyang Qi
Yan Gao
Yao Hu
Xinggang Wang
Xiaoyu Liu
Xiang Bai
Serge Belongie
Alan Yuille
Juil Sock
S. Bai
VOSVLM
267
173
0
02 Feb 2021
Rank-Consistency Deep Hashing for Scalable Multi-Label Image Search
Rank-Consistency Deep Hashing for Scalable Multi-Label Image SearchIEEE transactions on multimedia (TMM), 2020
Cheng Ma
Jiwen Lu
Jie Zhou
101
13
0
02 Feb 2021
Enjoy Your Editing: Controllable GANs for Image Editing via Latent Space
  Navigation
Enjoy Your Editing: Controllable GANs for Image Editing via Latent Space NavigationInternational Conference on Learning Representations (ICLR), 2021
Peiye Zhuang
Oluwasanmi Koyejo
Alex Schwing
241
86
0
01 Feb 2021
Evaluating Large-Vocabulary Object Detectors: The Devil is in the
  Details
Evaluating Large-Vocabulary Object Detectors: The Devil is in the Details
Achal Dave
Piotr Dollár
Deva Ramanan
A. Kirillov
Ross B. Girshick
ObjDVLM
162
60
0
01 Feb 2021
A Runtime-Based Computational Performance Predictor for Deep Neural
  Network Training
A Runtime-Based Computational Performance Predictor for Deep Neural Network TrainingUSENIX Annual Technical Conference (USENIX ATC), 2021
Geoffrey X. Yu
Yubo Gao
P. Golikov
Gennady Pekhimenko
3DH
137
78
0
31 Jan 2021
Classification of Shoulder X-Ray Images with Deep Learning Ensemble
  Models
Classification of Shoulder X-Ray Images with Deep Learning Ensemble Models
Fatih Uysal
Fırat Hardalaç
Ozan Peker
T. Tolunay
N. Tokgöz
OOD
113
4
0
31 Jan 2021
Admix: Enhancing the Transferability of Adversarial Attacks
Admix: Enhancing the Transferability of Adversarial AttacksIEEE International Conference on Computer Vision (ICCV), 2021
Xiaosen Wang
Xu He
Jingdong Wang
Kun He
AAML
363
250
0
31 Jan 2021
AACP: Model Compression by Accurate and Automatic Channel Pruning
AACP: Model Compression by Accurate and Automatic Channel PruningInternational Conference on Pattern Recognition (ICPR), 2021
Lanbo Lin
Yujiu Yang
Zhenhua Guo
MQ
104
18
0
31 Jan 2021
Spectral Roll-off Points Variations: Exploring Useful Information in
  Feature Maps by Its Variations
Spectral Roll-off Points Variations: Exploring Useful Information in Feature Maps by Its Variations
Yunkai Yu
Yuyang You
Zhihong Yang
Guozheng Liu
Peiyao Li
Zhicheng Yang
Wenjing Shan
171
2
0
31 Jan 2021
ObjectAug: Object-level Data Augmentation for Semantic Image
  Segmentation
ObjectAug: Object-level Data Augmentation for Semantic Image SegmentationIEEE International Joint Conference on Neural Network (IJCNN), 2021
Jiawei Zhang
Yanchun Zhang
Xiaowei Xu
171
37
0
30 Jan 2021
Quantifying Visual Image Quality: A Bayesian View
Quantifying Visual Image Quality: A Bayesian ViewAnnual Review of Vision Science (ARVS), 2021
Zhengfang Duanmu
Wentao Liu
Zhongling Wang
Zhou Wang
154
38
0
30 Jan 2021
Low Dimensional Convolutional Neural Network For Solar Flares GOES Time
  Series Classification
Low Dimensional Convolutional Neural Network For Solar Flares GOES Time Series ClassificationAstrophysical Journal Supplement Series (ApJS), 2021
Vlad Landa
Y. Reuveni
BDL
39
22
0
29 Jan 2021
The Mind's Eye: Visualizing Class-Agnostic Features of CNNs
The Mind's Eye: Visualizing Class-Agnostic Features of CNNsInternational Conference on Information Photonics (ICIP), 2021
Alexandros Stergiou
FAtt
68
4
0
29 Jan 2021
Jane Jacobs in the Sky: Predicting Urban Vitality with Open Satellite
  Data
Jane Jacobs in the Sky: Predicting Urban Vitality with Open Satellite Data
S. Šćepanović
Sagar Joglekar
Stephen Law
Daniele Quercia
92
20
0
28 Jan 2021
Exploring Cross-Image Pixel Contrast for Semantic Segmentation
Exploring Cross-Image Pixel Contrast for Semantic SegmentationIEEE International Conference on Computer Vision (ICCV), 2021
Wenguan Wang
Tianfei Zhou
Feng Yu
Jifeng Dai
E. Konukoglu
Luc Van Gool
402
535
0
28 Jan 2021
Self-supervised Cross-silo Federated Neural Architecture Search
Self-supervised Cross-silo Federated Neural Architecture Search
Xinle Liang
Yang Liu
Jiahuan Luo
Yuanqin He
Tianjian Chen
Qiang Yang
FedML
245
21
0
28 Jan 2021
CNN with large memory layers
CNN with large memory layers
R. Karimov
Yury Malkov
Karim Iskakov
Victor Lempitsky
192
0
0
27 Jan 2021
Bottleneck Transformers for Visual Recognition
Bottleneck Transformers for Visual RecognitionComputer Vision and Pattern Recognition (CVPR), 2021
A. Srinivas
Nayeon Lee
Niki Parmar
Jonathon Shlens
Pieter Abbeel
Ashish Vaswani
SLR
615
1,116
0
27 Jan 2021
Detecting Adversarial Examples by Input Transformations, Defense
  Perturbations, and Voting
Detecting Adversarial Examples by Input Transformations, Defense Perturbations, and VotingIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021
F. Nesti
Alessandro Biondi
Giorgio Buttazzo
AAML
123
50
0
27 Jan 2021
Learning Non-linear Wavelet Transformation via Normalizing Flow
Learning Non-linear Wavelet Transformation via Normalizing Flow
Shuo-Hui Li
221
3
0
27 Jan 2021
Edge-Labeling based Directed Gated Graph Network for Few-shot Learning
Edge-Labeling based Directed Gated Graph Network for Few-shot LearningInternational Conference on Information Photonics (ICIP), 2021
Peixiao Zheng
Xin Guo
Lin Qi
73
1
0
27 Jan 2021
Supervised Momentum Contrastive Learning for Few-Shot Classification
Supervised Momentum Contrastive Learning for Few-Shot Classification
Orchid Majumder
Avinash Ravichandran
Subhransu Maji
Alessandro Achille
M. Polito
Stefano Soatto
SSL
174
13
0
26 Jan 2021
Visual explanation of black-box model: Similarity Difference and
  Uniqueness (SIDU) method
Visual explanation of black-box model: Similarity Difference and Uniqueness (SIDU) methodPattern Recognition (Pattern Recogn.), 2021
Satya M. Muddamsetty
M. N. Jahromi
Andreea-Emilia Ciontos
Laura M. Fenoy
T. Moeslund
AAML
249
29
0
26 Jan 2021
ResLT: Residual Learning for Long-tailed Recognition
ResLT: Residual Learning for Long-tailed RecognitionIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021
Jiequan Cui
Shu Liu
Zhuotao Tian
Zhisheng Zhong
Jiaya Jia
309
177
0
26 Jan 2021
Continual Learning of Visual Concepts for Robots through Limited
  Supervision
Continual Learning of Visual Concepts for Robots through Limited SupervisionIEEE/ACM International Conference on Human-Robot Interaction (HRI), 2021
Ali Ayub
Alan R. Wagner
CLL
77
2
0
26 Jan 2021
Learning-Ñ-Flying: A Learning-based, Decentralized Mission Aware UAS
  Collision Avoidance Scheme
Learning-Ñ-Flying: A Learning-based, Decentralized Mission Aware UAS Collision Avoidance Scheme
Alena Rodionova
Yash Vardhan Pant
Connor Kurtz
Kuk Jin Jang
Houssam Abbas
Rahul Mangharam
87
3
0
25 Jan 2021
Curriculum Learning: A Survey
Curriculum Learning: A SurveyInternational Journal of Computer Vision (IJCV), 2021
Petru Soviany
Radu Tudor Ionescu
Paolo Rota
Andrii Zadaianchuk
ODL
517
469
0
25 Jan 2021
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