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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 / 13,048 papers shown
Title
Double Similarity Distillation for Semantic Image Segmentation
Double Similarity Distillation for Semantic Image SegmentationIEEE Transactions on Image Processing (TIP), 2021
Yingchao Feng
Xian Sun
Wenhui Diao
Jihao Li
Xin Gao
126
70
0
19 Jul 2021
Effective GPU Sharing Under Compiler Guidance
Effective GPU Sharing Under Compiler Guidance
Chao Chen
C. Porter
S. Pande
49
0
0
18 Jul 2021
Feature Mining: A Novel Training Strategy for Convolutional Neural
  Network
Feature Mining: A Novel Training Strategy for Convolutional Neural Network
Tianshu Xie
Xuan Cheng
Xiaomin Wang
Minghui Liu
Jiali Deng
Ming Liu
159
5
0
18 Jul 2021
Visual Representation Learning Does Not Generalize Strongly Within the
  Same Domain
Visual Representation Learning Does Not Generalize Strongly Within the Same DomainInternational Conference on Learning Representations (ICLR), 2021
Lukas Schott
Julius von Kügelgen
Frederik Trauble
Peter V. Gehler
Chris Russell
Matthias Bethge
Bernhard Schölkopf
Francesco Locatello
Wieland Brendel
OODDRL
371
77
0
17 Jul 2021
Representation Consolidation for Training Expert Students
Representation Consolidation for Training Expert Students
Zhizhong Li
Avinash Ravichandran
Charless C. Fowlkes
M. Polito
Rahul Bhotika
Stefano Soatto
131
6
0
16 Jul 2021
All the attention you need: Global-local, spatial-channel attention for
  image retrieval
All the attention you need: Global-local, spatial-channel attention for image retrievalIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2021
Chull Hwan Song
Hye Joo Han
Yannis Avrithis
239
60
0
16 Jul 2021
A Survey on Deep Domain Adaptation and Tiny Object Detection Challenges,
  Techniques and Datasets
A Survey on Deep Domain Adaptation and Tiny Object Detection Challenges, Techniques and Datasets
Muhammed Muzammul
Xi Li
ObjD
218
18
0
16 Jul 2021
A Survey on Bias in Visual Datasets
A Survey on Bias in Visual DatasetsComputer Vision and Image Understanding (CVIU), 2021
Simone Fabbrizzi
Symeon Papadopoulos
Eirini Ntoutsi
Y. Kompatsiaris
339
152
0
16 Jul 2021
NeXtQSM -- A complete deep learning pipeline for data-consistent
  quantitative susceptibility mapping trained with hybrid data
NeXtQSM -- A complete deep learning pipeline for data-consistent quantitative susceptibility mapping trained with hybrid data
Francesco Cognolato
Kieran O’Brien
Jin Jin
S. Robinson
F. Laun
M. Barth
S. Bollmann
135
9
0
16 Jul 2021
Rectifying the Shortcut Learning of Background for Few-Shot Learning
Rectifying the Shortcut Learning of Background for Few-Shot LearningNeural Information Processing Systems (NeurIPS), 2021
Xu Luo
Longhui Wei
Liangjiang Wen
Jinrong Yang
Lingxi Xie
Zenglin Xu
Qi Tian
355
100
0
16 Jul 2021
Training Compact CNNs for Image Classification using Dynamic-coded
  Filter Fusion
Training Compact CNNs for Image Classification using Dynamic-coded Filter FusionIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021
Mingbao Lin
Bohong Chen
Jiayi Ji
Rongrong Ji
VLM
184
29
0
14 Jul 2021
Multi-Label Generalized Zero Shot Learning for the Classification of
  Disease in Chest Radiographs
Multi-Label Generalized Zero Shot Learning for the Classification of Disease in Chest Radiographs
Nasir Hayat
Hazem Lashen
Farah E. Shamout
231
25
0
14 Jul 2021
A Convolutional Neural Network Approach to the Classification of
  Engineering Models
A Convolutional Neural Network Approach to the Classification of Engineering Models
Bharadwaj Manda
Pranjal Bhaskare
Ramanathan Muthuganapathy
99
26
0
14 Jul 2021
How Much Can CLIP Benefit Vision-and-Language Tasks?
How Much Can CLIP Benefit Vision-and-Language Tasks?
Sheng Shen
Liunian Harold Li
Hao Tan
Joey Tianyi Zhou
Anna Rohrbach
Kai-Wei Chang
Z. Yao
Kurt Keutzer
CLIPVLMMLLM
448
463
0
13 Jul 2021
HDMapNet: An Online HD Map Construction and Evaluation Framework
HDMapNet: An Online HD Map Construction and Evaluation Framework
Qi Li
Yue Wang
Yilun Wang
Hang Zhao
184
335
0
13 Jul 2021
Per-Pixel Classification is Not All You Need for Semantic Segmentation
Per-Pixel Classification is Not All You Need for Semantic Segmentation
Bowen Cheng
Alex Schwing
Alexander Kirillov
VLMViT
522
1,845
0
13 Jul 2021
What classifiers know what they don't?
What classifiers know what they don't?
Mohamed Ishmael Belghazi
David Lopez-Paz
221
7
0
13 Jul 2021
'CADSketchNet' -- An Annotated Sketch dataset for 3D CAD Model Retrieval
  with Deep Neural Networks
'CADSketchNet' -- An Annotated Sketch dataset for 3D CAD Model Retrieval with Deep Neural Networks
Bharadwaj Manda
Shubham Dhayarkar
Sai Mitheran
V. Viekash
Ramanathan Muthuganapathy
3DPC3DV
202
26
0
13 Jul 2021
HAT: Hierarchical Aggregation Transformers for Person Re-identification
HAT: Hierarchical Aggregation Transformers for Person Re-identification
Guowen Zhang
Silong Yong
Jinqing Qi
Huchuan Lu
ViT
243
143
0
13 Jul 2021
Adversarial Motorial Prototype Framework for Open Set Recognition
Adversarial Motorial Prototype Framework for Open Set Recognition
Ziheng Xia
Penghui Wang
Ganggang Dong
Hongwei Liu
102
9
0
13 Jul 2021
LANA: Latency Aware Network Acceleration
LANA: Latency Aware Network Acceleration
Pavlo Molchanov
Jimmy Hall
Hongxu Yin
Jan Kautz
Nicolò Fusi
Arash Vahdat
281
11
0
12 Jul 2021
Locally Enhanced Self-Attention: Combining Self-Attention and
  Convolution as Local and Context Terms
Locally Enhanced Self-Attention: Combining Self-Attention and Convolution as Local and Context Terms
Chenglin Yang
Siyuan Qiao
Adam Kortylewski
Alan Yuille
224
4
0
12 Jul 2021
Few-shot Learning with Global Relatedness Decoupled-Distillation
Few-shot Learning with Global Relatedness Decoupled-Distillation
Yuanen Zhou
Yanrong Guo
Shijie Hao
Richang Hong
Zhen junzha
Meng Wang
267
1
0
12 Jul 2021
Source-Free Adaptation to Measurement Shift via Bottom-Up Feature
  Restoration
Source-Free Adaptation to Measurement Shift via Bottom-Up Feature Restoration
Cian Eastwood
I. Mason
Christopher K. I. Williams
Bernhard Schölkopf
TTA
185
58
0
12 Jul 2021
End-to-end Trainable Deep Neural Network for Robotic Grasp Detection and
  Semantic Segmentation from RGB
End-to-end Trainable Deep Neural Network for Robotic Grasp Detection and Semantic Segmentation from RGB
Stefan Ainetter
Friedrich Fraundorfer
256
149
0
12 Jul 2021
BCNet: A Deep Convolutional Neural Network for Breast Cancer Grading
BCNet: A Deep Convolutional Neural Network for Breast Cancer Grading
Pouya Hallaj Zavareh
Atefeh Safayari
Hamidreza Bolhasani
126
10
0
11 Jul 2021
Blending Pruning Criteria for Convolutional Neural Networks
Blending Pruning Criteria for Convolutional Neural Networks
Wei He
Zhongzhan Huang
Mingfu Liang
Senwei Liang
Haizhao Yang
CVBM
151
15
0
11 Jul 2021
Identifying Layers Susceptible to Adversarial Attacks
Identifying Layers Susceptible to Adversarial Attacks
Shoaib Ahmed Siddiqui
Thomas Breuel
AAML
185
3
0
10 Jul 2021
A Topological-Framework to Improve Analysis of Machine Learning Model
  Performance
A Topological-Framework to Improve Analysis of Machine Learning Model Performance
Henry Kvinge
Colby Wight
Sarah Akers
Scott Howland
W. Choi
Xiaolong Ma
Luke J. Gosink
E. Jurrus
K. Kappagantula
Tegan H. Emerson
136
0
0
09 Jul 2021
A Framework and Benchmarking Study for Counterfactual Generating Methods
  on Tabular Data
A Framework and Benchmarking Study for Counterfactual Generating Methods on Tabular DataApplied Sciences (AS), 2021
Raphael Mazzine
David Martens
184
35
0
09 Jul 2021
Accuracy on the Line: On the Strong Correlation Between
  Out-of-Distribution and In-Distribution Generalization
Accuracy on the Line: On the Strong Correlation Between Out-of-Distribution and In-Distribution GeneralizationInternational Conference on Machine Learning (ICML), 2021
John Miller
Rohan Taori
Aditi Raghunathan
Shiori Sagawa
Pang Wei Koh
Vaishaal Shankar
Abigail Z. Jacobs
Y. Carmon
Ludwig Schmidt
OODDOOD
328
312
0
09 Jul 2021
Training Over-parameterized Models with Non-decomposable Objectives
Training Over-parameterized Models with Non-decomposable ObjectivesNeural Information Processing Systems (NeurIPS), 2021
Harikrishna Narasimhan
A. Menon
144
13
0
09 Jul 2021
Model compression as constrained optimization, with application to
  neural nets. Part V: combining compressions
Model compression as constrained optimization, with application to neural nets. Part V: combining compressions
Miguel Á. Carreira-Perpiñán
Yerlan Idelbayev
190
6
0
09 Jul 2021
Unity Perception: Generate Synthetic Data for Computer Vision
Unity Perception: Generate Synthetic Data for Computer Vision
S. Borkman
A. Crespi
S. Dhakad
Sujoy Ganguly
Jonathan Hogins
...
Cesar Romero
Wesley Smith
Alex Thaman
Samuel Warren
Nupur Yadav
3DVSyDaVLM
261
118
0
09 Jul 2021
Exploring Dropout Discriminator for Domain Adaptation
Exploring Dropout Discriminator for Domain Adaptation
V. Kurmi
Venkatesh Subramanian
Vinay P. Namboodiri
OOD
127
9
0
09 Jul 2021
Emotion Recognition with Incomplete Labels Using Modified Multi-task
  Learning Technique
Emotion Recognition with Incomplete Labels Using Modified Multi-task Learning Technique
Phan Tran Dac Thinh
Hoang Manh Hung
Hyung-Jeong Yang
Soohyung Kim
Gueesang Lee
CVBM
132
19
0
09 Jul 2021
Structured Model Pruning of Convolutional Networks on Tensor Processing
  Units
Structured Model Pruning of Convolutional Networks on Tensor Processing Units
Kongtao Chen
Ken Franko
Ruoxin Sang
CVBM
150
72
0
09 Jul 2021
Susceptibility to Image Resolution in Face Recognition and Trainings
  Strategies
Susceptibility to Image Resolution in Face Recognition and Trainings StrategiesLeibniz Transactions on Embedded Systems (LITES), 2021
Martin Knoche
S. Hörmann
Gerhard Rigoll
CVBM
114
3
0
08 Jul 2021
Investigate the Essence of Long-Tailed Recognition from a Unified Perspective
Lei Liu
Li Liu
123
0
0
08 Jul 2021
Core-set Sampling for Efficient Neural Architecture Search
Core-set Sampling for Efficient Neural Architecture Search
Jaewoong Shim
Kyeongbo Kong
Suk-Ju Kang
269
28
0
08 Jul 2021
M-FAC: Efficient Matrix-Free Approximations of Second-Order Information
M-FAC: Efficient Matrix-Free Approximations of Second-Order InformationNeural Information Processing Systems (NeurIPS), 2021
Elias Frantar
Eldar Kurtic
Dan Alistarh
344
62
0
07 Jul 2021
Predicting with Confidence on Unseen Distributions
Predicting with Confidence on Unseen Distributions
Devin Guillory
Vaishaal Shankar
Sayna Ebrahimi
Trevor Darrell
Ludwig Schmidt
UQCVOOD
266
137
0
07 Jul 2021
Introducing the structural bases of typicality effects in deep learning
Introducing the structural bases of typicality effects in deep learning
Omar Vidal Pino
Erickson R. Nascimento
M. Campos
108
1
0
07 Jul 2021
FasterPose: A Faster Simple Baseline for Human Pose Estimation
FasterPose: A Faster Simple Baseline for Human Pose Estimation
Hanbin Dai
Hailin Shi
Wu Liu
Linfang Wang
Yinglu Liu
Tao Mei
3DH
137
27
0
07 Jul 2021
Urban Tree Species Classification Using Aerial Imagery
Urban Tree Species Classification Using Aerial Imagery
Emily Waters
Mahdi Maktabdar Oghaz
Lakshmi Babu Saheer
51
4
0
07 Jul 2021
KOALA: A Kalman Optimization Algorithm with Loss Adaptivity
KOALA: A Kalman Optimization Algorithm with Loss Adaptivity
A. Davtyan
Sepehr Sameni
L. Cerkezi
Givi Meishvili
Adam Bielski
Paolo Favaro
ODL
374
4
0
07 Jul 2021
Poly-NL: Linear Complexity Non-local Layers with Polynomials
Poly-NL: Linear Complexity Non-local Layers with Polynomials
F. Babiloni
Ioannis Marras
Filippos Kokkinos
Jiankang Deng
Grigorios G. Chrysos
Stefanos Zafeiriou
115
7
0
06 Jul 2021
Finding Significant Features for Few-Shot Learning using Dimensionality
  Reduction
Finding Significant Features for Few-Shot Learning using Dimensionality Reduction
M. Mendez-Ruiz
Jorge Gonzalez-Zapata
Gilberto Ochoa-Ruiz
Andres Mendez-Vazquez
140
1
0
06 Jul 2021
Evaluating subgroup disparity using epistemic uncertainty in mammography
Evaluating subgroup disparity using epistemic uncertainty in mammography
Charles Lu
A. Lemay
K. Hoebel
Jayashree Kalpathy-Cramer
UQCVUD
202
12
0
06 Jul 2021
Predicate correlation learning for scene graph generation
Predicate correlation learning for scene graph generation
Lei Tao
Li Mi
Nannan Li
Xianhang Cheng
Yaosi Hu
Zhenzhong Chen
201
20
0
06 Jul 2021
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