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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 / 13,002 papers shown
Title
Structured DropConnect for Uncertainty Inference in Image Classification
Structured DropConnect for Uncertainty Inference in Image Classification
Wenqing Zheng
Jiyang Xie
Weidong Liu
Zhanyu Ma
UQCVBDL
119
3
0
16 Jun 2021
EdgeConv with Attention Module for Monocular Depth Estimation
EdgeConv with Attention Module for Monocular Depth Estimation
Minhyeok Lee
Sangwon Hwang
Chaewon Park
Sangyoun Lee
MDE3DPC
204
21
0
16 Jun 2021
ECKPN: Explicit Class Knowledge Propagation Network for Transductive
  Few-shot Learning
ECKPN: Explicit Class Knowledge Propagation Network for Transductive Few-shot Learning
Chaofan CHEN
Xiaoshan Yang
Changsheng Xu
Xuhui Huang
Zhe Ma
135
56
0
16 Jun 2021
Revisit Visual Representation in Analytics Taxonomy: A Compression
  Perspective
Revisit Visual Representation in Analytics Taxonomy: A Compression Perspective
Yueyu Hu
Wenhan Yang
Haofeng Huang
Jiaying Liu
169
3
0
16 Jun 2021
How to Train Your Wide Neural Network Without Backprop: An Input-Weight
  Alignment Perspective
How to Train Your Wide Neural Network Without Backprop: An Input-Weight Alignment Perspective
Akhilan Boopathy
Ila Fiete
208
13
0
15 Jun 2021
Self-Supervised Learning with Kernel Dependence Maximization
Self-Supervised Learning with Kernel Dependence Maximization
Yazhe Li
Roman Pogodin
Danica J. Sutherland
Arthur Gretton
SSL
179
98
0
15 Jun 2021
BEiT: BERT Pre-Training of Image Transformers
BEiT: BERT Pre-Training of Image Transformers
Hangbo Bao
Li Dong
Songhao Piao
Furu Wei
ViT
788
3,355
0
15 Jun 2021
Domain Adaptive SiamRPN++ for Object Tracking in the Wild
Domain Adaptive SiamRPN++ for Object Tracking in the Wild
Zhongzhou Zhang
Lei Zhang
144
8
0
15 Jun 2021
Keep CALM and Improve Visual Feature Attribution
Keep CALM and Improve Visual Feature AttributionIEEE International Conference on Computer Vision (ICCV), 2021
Jae Myung Kim
Junsuk Choe
Zeynep Akata
Seong Joon Oh
FAtt
772
22
0
15 Jun 2021
Learning Deep Morphological Networks with Neural Architecture Search
Learning Deep Morphological Networks with Neural Architecture SearchPattern Recognition (Pattern Recogn.), 2021
Yufei Hu
Nacim Belkhir
Jesús Angulo
Angela Yao
Gianni Franchi
AI4CE
115
25
0
14 Jun 2021
Improved Transformer for High-Resolution GANs
Improved Transformer for High-Resolution GANsNeural Information Processing Systems (NeurIPS), 2021
Long Zhao
Zizhao Zhang
Ting Chen
Dimitris N. Metaxas
Han Zhang
ViT
313
109
0
14 Jun 2021
Now You See It, Now You Dont: Adversarial Vulnerabilities in
  Computational Pathology
Now You See It, Now You Dont: Adversarial Vulnerabilities in Computational Pathology
Alex Foote
Amina Asif
A. Azam
Tim Marshall-Cox
Nasir M. Rajpoot
F. Minhas
AAMLMedIm
125
13
0
14 Jun 2021
Partial success in closing the gap between human and machine vision
Partial success in closing the gap between human and machine visionNeural Information Processing Systems (NeurIPS), 2021
Robert Geirhos
Kantharaju Narayanappa
Benjamin Mitzkus
Tizian Thieringer
Matthias Bethge
Felix Wichmann
Wieland Brendel
VLMAAML
281
263
0
14 Jun 2021
Influential Rank: A New Perspective of Post-training for Robust Model
  against Noisy Labels
Influential Rank: A New Perspective of Post-training for Robust Model against Noisy Labels
Seulki Park
Hwanjun Song
Daeho Um
D. Jo
Sangdoo Yun
J. Choi
NoLa
309
0
0
14 Jun 2021
Temporal Predictive Coding For Model-Based Planning In Latent Space
Temporal Predictive Coding For Model-Based Planning In Latent SpaceInternational Conference on Machine Learning (ICML), 2021
Tung D. Nguyen
Rui Shu
Tu Pham
Hung Bui
Stefano Ermon
OffRL
217
62
0
14 Jun 2021
Pre-Trained Models: Past, Present and Future
Pre-Trained Models: Past, Present and FutureAI Open (AO), 2021
Xu Han
Zhengyan Zhang
Ning Ding
Yuxian Gu
Xiao Liu
...
Jie Tang
Ji-Rong Wen
Jinhui Yuan
Wayne Xin Zhao
Jun Zhu
AIFinMQAI4MH
371
976
0
14 Jun 2021
Survey: Image Mixing and Deleting for Data Augmentation
Survey: Image Mixing and Deleting for Data AugmentationEngineering applications of artificial intelligence (EAAI), 2021
Humza Naveed
Saeed Anwar
Munawar Hayat
Kashif Javed
Ajmal Mian
299
107
0
13 Jun 2021
Boosting Randomized Smoothing with Variance Reduced Classifiers
Boosting Randomized Smoothing with Variance Reduced ClassifiersInternational Conference on Learning Representations (ICLR), 2021
Miklós Z. Horváth
Mark Niklas Muller
Marc Fischer
Martin Vechev
AAMLUQCV
239
55
0
13 Jun 2021
Inverting Adversarially Robust Networks for Image Synthesis
Inverting Adversarially Robust Networks for Image SynthesisAsian Conference on Computer Vision (ACCV), 2021
Renan A. Rojas-Gomez
Raymond A. Yeh
Minh Do
A. Nguyen
184
6
0
13 Jun 2021
Deep Learning for Predictive Analytics in Reversible Steganography
Deep Learning for Predictive Analytics in Reversible SteganographyIEEE Access (IEEE Access), 2021
Ching-Chun Chang
Xu Wang
Sisheng Chen
Isao Echizen
Victor Sanchez
Chang-Tsun Li
162
9
0
13 Jun 2021
Deep Learning Frameworks Applied For Audio-Visual Scene Classification
Deep Learning Frameworks Applied For Audio-Visual Scene Classification
L. D. Pham
Alexander Schindler
Mina Schütz
Jasmin Lampert
S. Schlarb
Ross King
98
9
0
12 Jun 2021
Learngene: From Open-World to Your Learning Task
Learngene: From Open-World to Your Learning TaskAAAI Conference on Artificial Intelligence (AAAI), 2021
Qiufeng Wang
Xin Geng
Shuxia Lin
Shiyu Xia
Lei Qi
Ning Xu
148
31
0
12 Jun 2021
DeepMMSA: A Novel Multimodal Deep Learning Method for Non-small Cell
  Lung Cancer Survival Analysis
DeepMMSA: A Novel Multimodal Deep Learning Method for Non-small Cell Lung Cancer Survival AnalysisIEEE International Conference on Systems, Man and Cybernetics (SMC), 2021
Yujiao Wu
Jie Ma
Xiaoshui Huang
S. Ling
Steven W. Su
108
25
0
12 Jun 2021
LENAS: Learning-based Neural Architecture Search and Ensemble for 3D
  Radiotherapy Dose Prediction
LENAS: Learning-based Neural Architecture Search and Ensemble for 3D Radiotherapy Dose PredictionIEEE Transactions on Cybernetics (IEEE Trans. Cybern.), 2021
Yi Lin
Yanfei Liu
Hao-tao Chen
Xin Yang
Kai Ma
Yefeng Zheng
Kwang-Ting Cheng
3DV
153
7
0
12 Jun 2021
Go Small and Similar: A Simple Output Decay Brings Better Performance
Go Small and Similar: A Simple Output Decay Brings Better Performance
Xuan Cheng
Tianshu Xie
Xiaomin Wang
Jiali Deng
Minghui Liu
Ming Liu
101
0
0
12 Jun 2021
Disrupting Model Training with Adversarial Shortcuts
Disrupting Model Training with Adversarial Shortcuts
Ivan Evtimov
Ian Covert
Aditya Kusupati
Tadayoshi Kohno
AAML
178
10
0
12 Jun 2021
Recovery of Meteorites Using an Autonomous Drone and Machine Learning
Recovery of Meteorites Using an Autonomous Drone and Machine LearningMeteoritics and Planetary Science (MAPS), 2021
R. Citron
P. Jenniskens
C. Watkins
S. Sinha
Amar Shah
Chedy Raïssi
H. Devillepoix
J. Albers
50
4
0
11 Jun 2021
K-shot NAS: Learnable Weight-Sharing for NAS with K-shot Supernets
K-shot NAS: Learnable Weight-Sharing for NAS with K-shot SupernetsInternational Conference on Machine Learning (ICML), 2021
Xiu Su
Shan You
Mingkai Zheng
Haiwei Yang
Chao Qian
Changshui Zhang
Chang Xu
159
37
0
11 Jun 2021
What Can Knowledge Bring to Machine Learning? -- A Survey of Low-shot
  Learning for Structured Data
What Can Knowledge Bring to Machine Learning? -- A Survey of Low-shot Learning for Structured DataACM Transactions on Intelligent Systems and Technology (ACM TIST), 2021
Yang Hu
Adriane P. Chapman
Guihua Wen
Dame Wendy Hall
258
27
0
11 Jun 2021
ViT-Inception-GAN for Image Colourising
ViT-Inception-GAN for Image Colourising
Tejas Bana
Jatan Loya
Siddhant Kulkarni
ViT
74
2
0
11 Jun 2021
Neural Networks for Partially Linear Quantile Regression
Neural Networks for Partially Linear Quantile Regression
Qixian Zhong
Jane-ling Wang
526
17
0
11 Jun 2021
NAAQA: A Neural Architecture for Acoustic Question Answering
NAAQA: A Neural Architecture for Acoustic Question AnsweringIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021
Jerome Abdelnour
Jean Rouat
G. Salvi
250
5
0
11 Jun 2021
DECORE: Deep Compression with Reinforcement Learning
DECORE: Deep Compression with Reinforcement LearningComputer Vision and Pattern Recognition (CVPR), 2021
Manoj Alwani
Yang Wang
Vashisht Madhavan
AI4CE
209
54
0
11 Jun 2021
Learning distinct features helps, provably
Learning distinct features helps, provably
Firas Laakom
Jenni Raitoharju
Alexandros Iosifidis
Moncef Gabbouj
MLT
194
6
0
10 Jun 2021
Implicit-PDF: Non-Parametric Representation of Probability Distributions
  on the Rotation Manifold
Implicit-PDF: Non-Parametric Representation of Probability Distributions on the Rotation ManifoldInternational Conference on Machine Learning (ICML), 2021
Kieran A. Murphy
Carlos Esteves
Varun Jampani
Srikumar Ramalingam
A. Makadia
220
87
0
10 Jun 2021
Learning to See by Looking at Noise
Learning to See by Looking at NoiseNeural Information Processing Systems (NeurIPS), 2021
Manel Baradad
Jonas Wulff
Tongzhou Wang
Phillip Isola
Antonio Torralba
372
106
0
10 Jun 2021
Programming Puzzles
Programming Puzzles
Tal Schuster
Ashwin Kalyan
Oleksandr Polozov
Adam Tauman Kalai
ELM
274
36
0
10 Jun 2021
Multi-resolution Outlier Pooling for Sorghum Classification
Multi-resolution Outlier Pooling for Sorghum Classification
C. Ren
Justin Dulay
Gregory Rolwes
D. Pauli
N. Shakoor
Abby Stylianou
136
8
0
10 Jun 2021
Thompson Sampling with a Mixture Prior
Thompson Sampling with a Mixture PriorInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2021
Joey Hong
Branislav Kveton
Manzil Zaheer
Mohammad Ghavamzadeh
Craig Boutilier
241
14
0
10 Jun 2021
How Robust are Model Rankings: A Leaderboard Customization Approach for
  Equitable Evaluation
How Robust are Model Rankings: A Leaderboard Customization Approach for Equitable EvaluationAAAI Conference on Artificial Intelligence (AAAI), 2021
Swaroop Mishra
Anjana Arunkumar
156
26
0
10 Jun 2021
3D Semantic Mapping from Arthroscopy using Out-of-distribution Pose and
  Depth and In-distribution Segmentation Training
3D Semantic Mapping from Arthroscopy using Out-of-distribution Pose and Depth and In-distribution Segmentation TrainingInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2021
Y. Jonmohamadi
Shahnewaz Ali
Fengbei Liu
Jonathan M. Roberts
R. Crawford
G. Carneiro
Ajay K. Pandey
103
5
0
10 Jun 2021
Keeping Your Eye on the Ball: Trajectory Attention in Video Transformers
Keeping Your Eye on the Ball: Trajectory Attention in Video TransformersNeural Information Processing Systems (NeurIPS), 2021
Mandela Patrick
Dylan Campbell
Yuki M. Asano
Ishan Misra
Ishan Misra Florian Metze
Christoph Feichtenhofer
Andrea Vedaldi
João F. Henriques
260
336
0
09 Jun 2021
Generative Feature-driven Image Replay for Continual Learning
Generative Feature-driven Image Replay for Continual LearningImage and Vision Computing (IVC), 2021
Kevin Thandiackal
Tiziano Portenier
Andrea Giovannini
M. Gabrani
O. Goksel
CLLVLMDiffM
194
11
0
09 Jun 2021
Knowledge distillation: A good teacher is patient and consistent
Knowledge distillation: A good teacher is patient and consistentComputer Vision and Pattern Recognition (CVPR), 2021
Lucas Beyer
Xiaohua Zhai
Amelie Royer
L. Markeeva
Rohan Anil
Alexander Kolesnikov
VLM
322
354
0
09 Jun 2021
Distilling Image Classifiers in Object Detectors
Distilling Image Classifiers in Object DetectorsNeural Information Processing Systems (NeurIPS), 2021
Shuxuan Guo
J. Álvarez
Mathieu Salzmann
VLM
178
8
0
09 Jun 2021
No Fear of Heterogeneity: Classifier Calibration for Federated Learning
  with Non-IID Data
No Fear of Heterogeneity: Classifier Calibration for Federated Learning with Non-IID DataNeural Information Processing Systems (NeurIPS), 2021
Mi Luo
Fei Chen
Dapeng Hu
Yifan Zhang
Jian Liang
Jiashi Feng
FedML
247
418
0
09 Jun 2021
It Takes Two to Tango: Mixup for Deep Metric Learning
It Takes Two to Tango: Mixup for Deep Metric LearningInternational Conference on Learning Representations (ICLR), 2021
Shashanka Venkataramanan
Bill Psomas
Ewa Kijak
Laurent Amsaleg
Konstantinos Karantzalos
Yannis Avrithis
191
31
0
09 Jun 2021
Self-supervision of Feature Transformation for Further Improving
  Supervised Learning
Self-supervision of Feature Transformation for Further Improving Supervised Learning
Zilin Ding
Yuhang Yang
Xuan Cheng
Xiaomin Wang
Ming-Yuan Liu
SSL
70
2
0
09 Jun 2021
Accelerating Neural Architecture Search via Proxy Data
Accelerating Neural Architecture Search via Proxy DataInternational Joint Conference on Artificial Intelligence (IJCAI), 2021
Byunggook Na
J. Mok
Hyeokjun Choe
Sungroh Yoon
171
23
0
09 Jun 2021
Understanding top-down attention using task-oriented ablation design
Understanding top-down attention using task-oriented ablation design
Freddie Bickford-Smith
Brett D. Roads
Xiaoliang Luo
Bradley C. Love
127
1
0
08 Jun 2021
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