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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 / 12,922 papers shown
Title
How Important is the Train-Validation Split in Meta-Learning?
How Important is the Train-Validation Split in Meta-Learning?
Yu Bai
Minshuo Chen
Pan Zhou
T. Zhao
Jason D. Lee
Sham Kakade
Haiquan Wang
Caiming Xiong
173
60
0
12 Oct 2020
Post-Training BatchNorm Recalibration
Post-Training BatchNorm Recalibration
Gil Shomron
U. Weiser
124
2
0
12 Oct 2020
BiPointNet: Binary Neural Network for Point Clouds
BiPointNet: Binary Neural Network for Point Clouds
Haotong Qin
Zhongang Cai
Mingyuan Zhang
Yifu Ding
Haiyu Zhao
Shuai Yi
Xianglong Liu
Hao Su
3DPC
254
52
0
12 Oct 2020
SMYRF: Efficient Attention using Asymmetric Clustering
SMYRF: Efficient Attention using Asymmetric Clustering
Giannis Daras
Nikita Kitaev
Augustus Odena
A. Dimakis
195
49
0
11 Oct 2020
Boosting Continuous Sign Language Recognition via Cross Modality
  Augmentation
Boosting Continuous Sign Language Recognition via Cross Modality AugmentationACM Multimedia (ACM MM), 2020
Junfu Pu
Wen-gang Zhou
Hezhen Hu
Houqiang Li
157
122
0
11 Oct 2020
Advanced Dropout: A Model-free Methodology for Bayesian Dropout
  Optimization
Advanced Dropout: A Model-free Methodology for Bayesian Dropout OptimizationIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020
Jiyang Xie
Zhanyu Ma
and Jianjun Lei
Guoqiang Zhang
Jing-Hao Xue
Zheng-Hua Tan
Jun Guo
BDL
112
51
0
11 Oct 2020
Adaptive Aggregation Networks for Class-Incremental Learning
Adaptive Aggregation Networks for Class-Incremental LearningComputer Vision and Pattern Recognition (CVPR), 2020
Yaoyao Liu
Bernt Schiele
Qianru Sun
CLL
287
248
0
10 Oct 2020
Block-term Tensor Neural Networks
Block-term Tensor Neural NetworksNeural Networks (NN), 2020
Jinmian Ye
Guangxi Li
Di Chen
Haiqin Yang
Shandian Zhe
Zenglin Xu
237
34
0
10 Oct 2020
Double Forward Propagation for Memorized Batch Normalization
Double Forward Propagation for Memorized Batch NormalizationAAAI Conference on Artificial Intelligence (AAAI), 2018
Yong Guo
Qingyao Wu
Chaorui Deng
Jian Chen
Zhuliang Yu
118
29
0
10 Oct 2020
Accelerate CNNs from Three Dimensions: A Comprehensive Pruning Framework
Accelerate CNNs from Three Dimensions: A Comprehensive Pruning FrameworkInternational Conference on Machine Learning (ICML), 2020
Wenxiao Wang
Minghao Chen
Shuai Zhao
Long Chen
Jinming Hu
Haifeng Liu
Deng Cai
Xiaofei He
Wei Liu
261
65
0
10 Oct 2020
Unveiling Class-Labeling Structure for Universal Domain Adaptation
Unveiling Class-Labeling Structure for Universal Domain Adaptation
Yueming Yin
Zhen Yang
Xiaofu Wu
Haifeng Hu
90
1
0
10 Oct 2020
PathoNet: Deep learning assisted evaluation of Ki-67 and tumor
  infiltrating lymphocytes (TILs) as prognostic factors in breast cancer; A
  large dataset and baseline
PathoNet: Deep learning assisted evaluation of Ki-67 and tumor infiltrating lymphocytes (TILs) as prognostic factors in breast cancer; A large dataset and baseline
Farzin Negahbani
Rasool Sabzi
Bita Pakniyat Jahromi
F. Movahedi
Mahsa Kohandel Shirazi
Shayan Majidi
Dena Firouzabadi
Amirreza Dehganian
119
1
0
09 Oct 2020
Instance Weighted Incremental Evolution Strategies for Reinforcement
  Learning in Dynamic Environments
Instance Weighted Incremental Evolution Strategies for Reinforcement Learning in Dynamic EnvironmentsIEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2020
Zhi Wang
Chunlin Chen
D. Dong
161
16
0
09 Oct 2020
Background Learnable Cascade for Zero-Shot Object Detection
Background Learnable Cascade for Zero-Shot Object DetectionAsian Conference on Computer Vision (ACCV), 2020
Ye Zheng
Ruoran Huang
Chuanqi Han
Xi Huang
Li Cui
ObjD
172
53
0
09 Oct 2020
A Unified Approach to Interpreting and Boosting Adversarial
  Transferability
A Unified Approach to Interpreting and Boosting Adversarial Transferability
Xin Eric Wang
Jie Ren
Shuyu Lin
Xiangming Zhu
Yisen Wang
Quanshi Zhang
AAML
335
102
0
08 Oct 2020
Spatially-Variant CNN-based Point Spread Function Estimation for Blind
  Deconvolution and Depth Estimation in Optical Microscopy
Spatially-Variant CNN-based Point Spread Function Estimation for Blind Deconvolution and Depth Estimation in Optical Microscopy
Adrian Shajkofci
M. Liebling
144
52
0
08 Oct 2020
Dense Relational Image Captioning via Multi-task Triple-Stream Networks
Dense Relational Image Captioning via Multi-task Triple-Stream Networks
Dong-Jin Kim
Tae-Hyun Oh
Jinsoo Choi
In So Kweon
283
37
0
08 Oct 2020
Conversion and Implementation of State-of-the-Art Deep Learning
  Algorithms for the Classification of Diabetic Retinopathy
Conversion and Implementation of State-of-the-Art Deep Learning Algorithms for the Classification of Diabetic Retinopathy
M. Rao
M. Zhu
Tianyang Wang
30
14
0
07 Oct 2020
Gradient Flow in Sparse Neural Networks and How Lottery Tickets Win
Gradient Flow in Sparse Neural Networks and How Lottery Tickets Win
Utku Evci
Yani Andrew Ioannou
Cem Keskin
Yann N. Dauphin
182
100
0
07 Oct 2020
Learning Monocular 3D Vehicle Detection without 3D Bounding Box Labels
Learning Monocular 3D Vehicle Detection without 3D Bounding Box Labels
Lukas Koestler
Nan Yang
Rui Wang
Zorah Lähner
3DPC
92
9
0
07 Oct 2020
Evaluating the Clinical Realism of Synthetic Chest X-Rays Generated
  Using Progressively Growing GANs
Evaluating the Clinical Realism of Synthetic Chest X-Rays Generated Using Progressively Growing GANs
Bradley Max Segal
D. Rubin
G. Rubin
Adam Pantanowitz
MedIm
164
43
0
07 Oct 2020
Attention Model Enhanced Network for Classification of Breast Cancer
  Image
Attention Model Enhanced Network for Classification of Breast Cancer Image
Xiao-Shui Kang
Xingbo Liu
Xiushan Nie
Xiaoming Xi
Yilong Yin
31
2
0
07 Oct 2020
Global Self-Attention Networks for Image Recognition
Global Self-Attention Networks for Image Recognition
Zhuoran Shen
Irwan Bello
Raviteja Vemulapalli
Xuhui Jia
Ching-Hui Chen
ViT
149
32
0
06 Oct 2020
A Closer Look at Codistillation for Distributed Training
A Closer Look at Codistillation for Distributed Training
Shagun Sodhani
Olivier Delalleau
Mahmoud Assran
Koustuv Sinha
Nicolas Ballas
Michael G. Rabbat
252
8
0
06 Oct 2020
The Autonomous Racing Software Stack of the KIT19d
The Autonomous Racing Software Stack of the KIT19d
Sherif Nekkah
Josua Janus
Mario Boxheimer
Lars Ohnemus
Stefan Hirsch
...
Yuchen Liu
David Borbély
Florian Keck
Katharina Bachmann
Lukasz Bleszynski
84
13
0
06 Oct 2020
How Convolutional Neural Network Architecture Biases Learned Opponency
  and Colour Tuning
How Convolutional Neural Network Architecture Biases Learned Opponency and Colour Tuning
Ethan Harris
Daniela Mihai
Jonathon S. Hare
75
1
0
06 Oct 2020
Visualizing Color-wise Saliency of Black-Box Image Classification Models
Visualizing Color-wise Saliency of Black-Box Image Classification ModelsAsian Conference on Computer Vision (ACCV), 2020
Yuhki Hatakeyama
Hiroki Sakuma
Yoshinori Konishi
Kohei Suenaga
FAtt
161
4
0
06 Oct 2020
Fine-Grained Grounding for Multimodal Speech Recognition
Fine-Grained Grounding for Multimodal Speech RecognitionFindings (Findings), 2020
Tejas Srinivasan
Ramon Sanabria
Florian Metze
Desmond Elliott
138
11
0
05 Oct 2020
Automotive Radar Data Acquisition using Object Detection
Automotive Radar Data Acquisition using Object Detection
M. Sakthi
Ahmed H. Tewfik
95
0
0
05 Oct 2020
Exploring the Interchangeability of CNN Embedding Spaces
Exploring the Interchangeability of CNN Embedding Spaces
David G. McNeely-White
Benjamin Sattelberg
Nathaniel Blanchard
Ross Beveridge
CVBM
161
1
0
05 Oct 2020
A Simple Framework for Uncertainty in Contrastive Learning
A Simple Framework for Uncertainty in Contrastive Learning
Mike Wu
Noah D. Goodman
UQCV
213
19
0
05 Oct 2020
Conditional Negative Sampling for Contrastive Learning of Visual
  Representations
Conditional Negative Sampling for Contrastive Learning of Visual RepresentationsInternational Conference on Learning Representations (ICLR), 2020
Mike Wu
Milan Mossé
Chengxu Zhuang
Daniel L. K. Yamins
Noah D. Goodman
SSL
166
87
0
05 Oct 2020
A Novel Actor Dual-Critic Model for Remote Sensing Image Captioning
A Novel Actor Dual-Critic Model for Remote Sensing Image CaptioningInternational Conference on Pattern Recognition (ICPR), 2020
Ruchika Chavhan
Biplab Banerjee
Xiaoxiang Zhu
S. Chaudhuri
73
9
0
05 Oct 2020
Improving Few-Shot Learning through Multi-task Representation Learning
  Theory
Improving Few-Shot Learning through Multi-task Representation Learning TheoryEuropean Conference on Computer Vision (ECCV), 2020
Quentin Bouniot
I. Redko
Romaric Audigier
Angélique Loesch
Amaury Habrard
193
11
0
05 Oct 2020
Joint Pruning & Quantization for Extremely Sparse Neural Networks
Joint Pruning & Quantization for Extremely Sparse Neural Networks
Po-Hsiang Yu
Sih-Sian Wu
Jan P. Klopp
Liang-Gee Chen
Shao-Yi Chien
MQ
199
19
0
05 Oct 2020
A Study for Universal Adversarial Attacks on Texture Recognition
A Study for Universal Adversarial Attacks on Texture Recognition
Yingpeng Deng
Lina Karam
AAML
126
3
0
04 Oct 2020
Improving Lesion Detection by exploring bias on Skin Lesion dataset
Improving Lesion Detection by exploring bias on Skin Lesion dataset
Anusua Trivedi
Sreya Muppalla
Shreyaan Pathak
Azadeh Mobasher
P. Janowski
Rahul Dodhia
J. L. Ferres
57
2
0
04 Oct 2020
Expectigrad: Fast Stochastic Optimization with Robust Convergence
  Properties
Expectigrad: Fast Stochastic Optimization with Robust Convergence Properties
Brett Daley
Chris Amato
ODL
130
4
0
03 Oct 2020
Bounding Boxes Are All We Need: Street View Image Classification via
  Context Encoding of Detected Buildings
Bounding Boxes Are All We Need: Street View Image Classification via Context Encoding of Detected BuildingsIEEE Transactions on Geoscience and Remote Sensing (IEEE TGRS), 2020
Kun Zhao
Yongkun Liu
Siyuan Hao
Shaoxing Lu
Hongbin Liu
Lijian Zhou
159
22
0
03 Oct 2020
CorrAttack: Black-box Adversarial Attack with Structured Search
CorrAttack: Black-box Adversarial Attack with Structured Search
Zhichao Huang
Yaowei Huang
Tong Zhang
AAML
124
8
0
03 Oct 2020
Dynamic Graph: Learning Instance-aware Connectivity for Neural Networks
Dynamic Graph: Learning Instance-aware Connectivity for Neural Networks
Kun Yuan
Quanquan Li
Dapeng Chen
Aojun Zhou
Junjie Yan
GNN
137
2
0
02 Oct 2020
Multi-Modal Open-Domain Dialogue
Multi-Modal Open-Domain DialogueConference on Empirical Methods in Natural Language Processing (EMNLP), 2020
Kurt Shuster
Eric Michael Smith
Da Ju
Jason Weston
AI4CE
215
48
0
02 Oct 2020
Hard Negative Mixing for Contrastive Learning
Hard Negative Mixing for Contrastive LearningNeural Information Processing Systems (NeurIPS), 2020
Yannis Kalantidis
Mert Bulent Sariyildiz
Noé Pion
Philippe Weinzaepfel
Diane Larlus
SSL
439
709
0
02 Oct 2020
CAPTION: Correction by Analyses, POS-Tagging and Interpretation of
  Objects using only Nouns
CAPTION: Correction by Analyses, POS-Tagging and Interpretation of Objects using only Nouns
L. Ferreira
Douglas De Rizzo Meneghetti
P. Santos
71
2
0
02 Oct 2020
Block-wise Image Transformation with Secret Key for Adversarially Robust
  Defense
Block-wise Image Transformation with Secret Key for Adversarially Robust DefenseIEEE Transactions on Information Forensics and Security (IEEE TIFS), 2020
Maungmaung Aprilpyone
Hitoshi Kiya
132
58
0
02 Oct 2020
Contrastive Learning of Medical Visual Representations from Paired
  Images and Text
Contrastive Learning of Medical Visual Representations from Paired Images and TextMachine Learning in Health Care (MLHC), 2020
Yuhao Zhang
Hang Jiang
Yasuhide Miura
Christopher D. Manning
C. Langlotz
MedIm
570
921
0
02 Oct 2020
Utilizing Transfer Learning and a Customized Loss Function for Optic
  Disc Segmentation from Retinal Images
Utilizing Transfer Learning and a Customized Loss Function for Optic Disc Segmentation from Retinal ImagesAsian Conference on Computer Vision (ACCV), 2020
Abdullah Sarhan
Ali Al-KhazÁly
Adam Gorner
Andrew Swift
J. Rokne
R. Alhajj
A. Crichton
106
10
0
01 Oct 2020
Deep learning for time series classification
Deep learning for time series classification
Hassan Ismail Fawaz
BDLAI4TS
150
47
0
01 Oct 2020
Fast Few-Shot Classification by Few-Iteration Meta-Learning
Fast Few-Shot Classification by Few-Iteration Meta-LearningIEEE International Conference on Robotics and Automation (ICRA), 2020
A. S. Tripathi
Martin Danelljan
Luc Van Gool
Radu Timofte
158
6
0
01 Oct 2020
An Ultra Lightweight CNN for Low Resource Circuit Component Recognition
An Ultra Lightweight CNN for Low Resource Circuit Component Recognition
Yingnan Ju
Yue (Eleanor) Chen
20
0
0
01 Oct 2020
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