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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 / 12,966 papers shown
Title
FedServing: A Federated Prediction Serving Framework Based on Incentive
  Mechanism
FedServing: A Federated Prediction Serving Framework Based on Incentive MechanismIEEE Conference on Computer Communications (INFOCOM), 2020
Jiasi Weng
Jian Weng
Hongwei Huang
Chengjun Cai
Cong Wang
FedML
135
31
0
19 Dec 2020
A Holistically-Guided Decoder for Deep Representation Learning with
  Applications to Semantic Segmentation and Object Detection
A Holistically-Guided Decoder for Deep Representation Learning with Applications to Semantic Segmentation and Object DetectionIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020
Jianbo Liu
Sijie Ren
Yuanjie Zheng
Xiaogang Wang
Jiaming Song
SSeg
171
11
0
18 Dec 2020
Transformer Interpretability Beyond Attention Visualization
Transformer Interpretability Beyond Attention VisualizationComputer Vision and Pattern Recognition (CVPR), 2020
Hila Chefer
Shir Gur
Lior Wolf
358
837
0
17 Dec 2020
End-to-end Deep Object Tracking with Circular Loss Function for Rotated
  Bounding Box
End-to-end Deep Object Tracking with Circular Loss Function for Rotated Bounding BoxInternational Symposium "Problems of Redundancy in Information and Control Systems" (ISPRICS), 2019
Vladislav Belyaev
Aleksandra Malysheva
A. Shpilman
139
2
0
17 Dec 2020
End-to-End Human Pose and Mesh Reconstruction with Transformers
End-to-End Human Pose and Mesh Reconstruction with TransformersComputer Vision and Pattern Recognition (CVPR), 2020
Kevin Qinghong Lin
Lijuan Wang
Zicheng Liu
ViT
338
718
0
17 Dec 2020
Weakly-Supervised Action Localization and Action Recognition using
  Global-Local Attention of 3D CNN
Weakly-Supervised Action Localization and Action Recognition using Global-Local Attention of 3D CNNInternational Journal of Computer Vision (IJCV), 2020
N. Yudistira
M. Kavitha
Takio Kurita
3DPC
266
14
0
17 Dec 2020
On the Limitations of Denoising Strategies as Adversarial Defenses
On the Limitations of Denoising Strategies as Adversarial Defenses
Zhonghan Niu
Zhaoxi Chen
Linyi Li
Yubin Yang
Yue Liu
Jinfeng Yi
AAML
148
14
0
17 Dec 2020
Joint Generative and Contrastive Learning for Unsupervised Person
  Re-identification
Joint Generative and Contrastive Learning for Unsupervised Person Re-identificationComputer Vision and Pattern Recognition (CVPR), 2020
Hao Chen
Yaohui Wang
Benoit Lagadec
A. Dantcheva
Francois Bremond
GANSSL
198
162
0
16 Dec 2020
Towards Recognizing New Semantic Concepts in New Visual Domains
Towards Recognizing New Semantic Concepts in New Visual Domains
Goran Frehse
OOD
225
0
0
16 Dec 2020
Exploring Neural Networks Quantization via Layer-Wise Quantization
  Analysis
Exploring Neural Networks Quantization via Layer-Wise Quantization Analysis
Shachar Gluska
Mark Grobman
MQ
93
7
0
15 Dec 2020
Detecting Invisible People
Detecting Invisible PeopleIEEE International Conference on Computer Vision (ICCV), 2020
Tarasha Khurana
Achal Dave
Deva Ramanan
170
41
0
15 Dec 2020
Amata: An Annealing Mechanism for Adversarial Training Acceleration
Amata: An Annealing Mechanism for Adversarial Training AccelerationAAAI Conference on Artificial Intelligence (AAAI), 2019
Nanyang Ye
Qianxiao Li
Xiao-Yun Zhou
Zhanxing Zhu
AAML
213
16
0
15 Dec 2020
Hypothesis Disparity Regularized Mutual Information Maximization
Hypothesis Disparity Regularized Mutual Information MaximizationAAAI Conference on Artificial Intelligence (AAAI), 2020
Qicheng Lao
Xiang Jiang
Mohammad Havaei
135
26
0
15 Dec 2020
Probabilistic Contrastive Principal Component Analysis
Probabilistic Contrastive Principal Component Analysis
Didong Li
Andrew Jones
Barbara E. Engelhardt
187
21
0
14 Dec 2020
A Software Engineering Perspective on Engineering Machine Learning
  Systems: State of the Art and Challenges
A Software Engineering Perspective on Engineering Machine Learning Systems: State of the Art and ChallengesJournal of Systems and Software (JSS), 2020
G. Giray
257
151
0
14 Dec 2020
Perceptron Theory Can Predict the Accuracy of Neural Networks
Perceptron Theory Can Predict the Accuracy of Neural NetworksIEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2020
Denis Kleyko
A. Rosato
E. P. Frady
Massimo Panella
Friedrich T. Sommer
GNN
172
11
0
14 Dec 2020
Improving Video Instance Segmentation by Light-weight Temporal
  Uncertainty Estimates
Improving Video Instance Segmentation by Light-weight Temporal Uncertainty EstimatesIEEE International Joint Conference on Neural Network (IJCNN), 2020
Kira Maag
Matthias Rottmann
Serin Varghese
Fabian Hüger
Peter Schlicht
Hanno Gottschalk
UQCV
203
13
0
14 Dec 2020
Deep Learning for Material recognition: most recent advances and open
  challenges
Deep Learning for Material recognition: most recent advances and open challenges
A. Trémeau
Sixiang Xu
Damien Muselet
116
8
0
14 Dec 2020
The Open Brands Dataset: Unified brand detection and recognition at
  scale
The Open Brands Dataset: Unified brand detection and recognition at scaleIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2020
Xuan Jin
Wei Su
Rong Zhang
Yuan He
Hui Xue
ObjD
122
16
0
14 Dec 2020
Simple Copy-Paste is a Strong Data Augmentation Method for Instance
  Segmentation
Simple Copy-Paste is a Strong Data Augmentation Method for Instance SegmentationComputer Vision and Pattern Recognition (CVPR), 2020
Golnaz Ghiasi
Huayu Chen
A. Srinivas
Rui Qian
Nayeon Lee
E. D. Cubuk
Quoc V. Le
Barret Zoph
ISeg
722
1,112
0
13 Dec 2020
Extended Few-Shot Learning: Exploiting Existing Resources for Novel
  Tasks
Extended Few-Shot Learning: Exploiting Existing Resources for Novel Tasks
Reza Esfandiarpoor
Amy Pu
M. Hajabdollahi
Stephen H. Bach
CLL
158
7
0
13 Dec 2020
Location-aware Single Image Reflection Removal
Location-aware Single Image Reflection RemovalIEEE International Conference on Computer Vision (ICCV), 2020
Zhen Dong
Ke Xu
Yin Yang
Hujun Bao
Weiwei Xu
Rynson W. H. Lau
211
112
0
13 Dec 2020
DFR: Deep Feature Reconstruction for Unsupervised Anomaly Segmentation
DFR: Deep Feature Reconstruction for Unsupervised Anomaly SegmentationNeurocomputing (Neurocomputing), 2020
Jie Yang
Yong Shi
Zhiquan Qi
UQCV
222
155
0
13 Dec 2020
Leaking Sensitive Financial Accounting Data in Plain Sight using Deep
  Autoencoder Neural Networks
Leaking Sensitive Financial Accounting Data in Plain Sight using Deep Autoencoder Neural Networks
Marco Schreyer
Chistian Schulze
Damian Borth
81
1
0
13 Dec 2020
PoNA: Pose-guided Non-local Attention for Human Pose Transfer
PoNA: Pose-guided Non-local Attention for Human Pose TransferIEEE Transactions on Image Processing (TIP), 2020
Kun Li
Jinsong Zhang
Yebin Liu
Yu-kun Lai
Qionghai Dai
GAN3DH
176
51
0
13 Dec 2020
Fault Injectors for TensorFlow: Evaluation of the Impact of Random
  Hardware Faults on Deep CNNs
Fault Injectors for TensorFlow: Evaluation of the Impact of Random Hardware Faults on Deep CNNs
Michael Beyer
Andrey Morozov
E. Valiev
Christoph Schorn
Lydia Gauerhof
K. Ding
K. Janschek
AAML
41
7
0
13 Dec 2020
MiniVLM: A Smaller and Faster Vision-Language Model
MiniVLM: A Smaller and Faster Vision-Language Model
Jianfeng Wang
Xiaowei Hu
Pengchuan Zhang
Xiujun Li
Lijuan Wang
Guang Dai
Jianfeng Gao
Zicheng Liu
VLMMLLM
174
70
0
13 Dec 2020
Assessing The Importance Of Colours For CNNs In Object Recognition
Assessing The Importance Of Colours For CNNs In Object Recognition
Aditya Singh
Alessandro Bay
Andrea Mirabile
84
14
0
12 Dec 2020
The Lottery Tickets Hypothesis for Supervised and Self-supervised
  Pre-training in Computer Vision Models
The Lottery Tickets Hypothesis for Supervised and Self-supervised Pre-training in Computer Vision ModelsComputer Vision and Pattern Recognition (CVPR), 2020
Tianlong Chen
Jonathan Frankle
Shiyu Chang
Sijia Liu
Yang Zhang
Michael Carbin
Zinan Lin
230
133
0
12 Dec 2020
A Review of Hidden Markov Models and Recurrent Neural Networks for Event
  Detection and Localization in Biomedical Signals
A Review of Hidden Markov Models and Recurrent Neural Networks for Event Detection and Localization in Biomedical SignalsInformation Fusion (Inf. Fusion), 2020
Yassin Khalifa
Danilo P. Mandic
E. Sejdić
118
53
0
11 Dec 2020
Spatially Conditioned Graphs for Detecting Human-Object Interactions
Spatially Conditioned Graphs for Detecting Human-Object InteractionsIEEE International Conference on Computer Vision (ICCV), 2020
Frederic Z. Zhang
Dylan Campbell
Stephen Gould
395
156
0
11 Dec 2020
Concept Generalization in Visual Representation Learning
Concept Generalization in Visual Representation LearningIEEE International Conference on Computer Vision (ICCV), 2020
Mert Bulent Sariyildiz
Yannis Kalantidis
Diane Larlus
Alahari Karteek
SSL
271
52
0
10 Dec 2020
Categorical Perception: A Groundwork for Deep Learning
Categorical Perception: A Groundwork for Deep LearningNeural Computation (Neural Comput.), 2020
L. Bonnasse-Gahot
Jean-Pierre Nadal
122
10
0
10 Dec 2020
Tensor Composition Net for Visual Relationship Prediction
Tensor Composition Net for Visual Relationship PredictionBritish Machine Vision Conference (BMVC), 2020
Yuting Qiang
Yongxin Yang
Xueting Zhang
Yanwen Guo
Timothy M. Hospedales
ViTCoGe
156
2
0
10 Dec 2020
Investigating Bias in Image Classification using Model Explanations
Investigating Bias in Image Classification using Model Explanations
S. Tong
Lalana Kagal
FaMLFAttXAI
85
16
0
10 Dec 2020
Data and its (dis)contents: A survey of dataset development and use in
  machine learning research
Data and its (dis)contents: A survey of dataset development and use in machine learning research
Amandalynne Paullada
Inioluwa Deborah Raji
Emily M. Bender
Emily L. Denton
A. Hanna
289
595
0
09 Dec 2020
Multi-Model Learning for Real-Time Automotive Semantic Foggy Scene
  Understanding via Domain Adaptation
Multi-Model Learning for Real-Time Automotive Semantic Foggy Scene Understanding via Domain Adaptation
Naif Alshammari
S. Akçay
T. Breckon
174
0
0
09 Dec 2020
ViP-DeepLab: Learning Visual Perception with Depth-aware Video Panoptic
  Segmentation
ViP-DeepLab: Learning Visual Perception with Depth-aware Video Panoptic SegmentationComputer Vision and Pattern Recognition (CVPR), 2020
Siyuan Qiao
Yukun Zhu
Hartwig Adam
Alan Yuille
Liang-Chieh Chen
MDE
213
164
0
09 Dec 2020
Improving Gradient Flow with Unrolled Highway Expectation Maximization
Improving Gradient Flow with Unrolled Highway Expectation Maximization
C. Song
Eunseok Kim
Inwook Shim
64
2
0
09 Dec 2020
Progressive Network Grafting for Few-Shot Knowledge Distillation
Progressive Network Grafting for Few-Shot Knowledge Distillation
Chengchao Shen
Xinchao Wang
Youtan Yin
Mingli Song
Sihui Luo
Xiuming Zhang
274
53
0
09 Dec 2020
ESAD: End-to-end Deep Semi-supervised Anomaly Detection
ESAD: End-to-end Deep Semi-supervised Anomaly Detection
Chaoqin Huang
Fei Ye
Peisen Zhao
Ya Zhang
Yanfeng Wang
Qi Tian
151
13
0
09 Dec 2020
On 1/n neural representation and robustness
On 1/n neural representation and robustness
Josue Nassar
Piotr A. Sokól
SueYeon Chung
K. Harris
Il Memming Park
AAMLOOD
130
27
0
08 Dec 2020
CASTing Your Model: Learning to Localize Improves Self-Supervised
  Representations
CASTing Your Model: Learning to Localize Improves Self-Supervised Representations
Ramprasaath R. Selvaraju
Karan Desai
Justin Johnson
Nikhil Naik
SSL
149
84
0
08 Dec 2020
Understanding How Dimension Reduction Tools Work: An Empirical Approach
  to Deciphering t-SNE, UMAP, TriMAP, and PaCMAP for Data Visualization
Understanding How Dimension Reduction Tools Work: An Empirical Approach to Deciphering t-SNE, UMAP, TriMAP, and PaCMAP for Data Visualization
Yingfan Wang
Haiyang Huang
Cynthia Rudin
Yaron Shaposhnik
538
409
0
08 Dec 2020
Data-Dependent Randomized Smoothing
Data-Dependent Randomized Smoothing
Motasem Alfarra
Adel Bibi
Juil Sock
Guohao Li
UQCV
288
40
0
08 Dec 2020
Parallel Training of Deep Networks with Local Updates
Parallel Training of Deep Networks with Local Updates
Michael Laskin
Luke Metz
Seth Nabarrao
Mark Saroufim
Badreddine Noune
Carlo Luschi
Jascha Narain Sohl-Dickstein
Pieter Abbeel
FedML
216
30
0
07 Dec 2020
Backpropagating Linearly Improves Transferability of Adversarial
  Examples
Backpropagating Linearly Improves Transferability of Adversarial Examples
Yiwen Guo
Qizhang Li
Hao Chen
FedMLAAML
265
126
0
07 Dec 2020
Selective Pseudo-Labeling with Reinforcement Learning for
  Semi-Supervised Domain Adaptation
Selective Pseudo-Labeling with Reinforcement Learning for Semi-Supervised Domain AdaptationBritish Machine Vision Conference (BMVC), 2020
Bingyu Liu
Yuhong Guo
Jieping Ye
Weihong Deng
183
5
0
07 Dec 2020
CompFeat: Comprehensive Feature Aggregation for Video Instance
  Segmentation
CompFeat: Comprehensive Feature Aggregation for Video Instance SegmentationAAAI Conference on Artificial Intelligence (AAAI), 2020
Yang Fu
Linjie Yang
Ding Liu
Thomas S. Huang
Humphrey Shi
VOS
265
75
0
07 Dec 2020
Visual Aware Hierarchy Based Food Recognition
Visual Aware Hierarchy Based Food Recognition
Runyu Mao
Jiangpeng He
Zeman Shao
S. Yarlagadda
Fengqing Zhu
162
60
0
06 Dec 2020
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