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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 / 13,074 papers shown
YOLO-ReT: Towards High Accuracy Real-time Object Detection on Edge GPUs
YOLO-ReT: Towards High Accuracy Real-time Object Detection on Edge GPUs
Prakhar Ganesh
Yao Chen
Yin Yang
Deming Chen
Marianne Winslett
ObjD3DH
170
40
0
26 Oct 2021
A Normalized Gaussian Wasserstein Distance for Tiny Object Detection
A Normalized Gaussian Wasserstein Distance for Tiny Object Detection
Jinwang Wang
Chang Xu
Wen Yang
Lei Yu
338
471
0
26 Oct 2021
Image Quality Assessment using Contrastive Learning
Image Quality Assessment using Contrastive Learning
Pavan C. Madhusudana
Neil Birkbeck
Yilin Wang
Balu Adsumilli
A. Bovik
SSL
134
212
0
25 Oct 2021
VAC-CNN: A Visual Analytics System for Comparative Studies of Deep
  Convolutional Neural Networks
VAC-CNN: A Visual Analytics System for Comparative Studies of Deep Convolutional Neural Networks
Xiwei Xuan
Xiaoyu Zhang
Oh-Hyun Kwon
K. Ma
HAI
169
26
0
25 Oct 2021
Identifying and Benchmarking Natural Out-of-Context Prediction Problems
Identifying and Benchmarking Natural Out-of-Context Prediction ProblemsNeural Information Processing Systems (NeurIPS), 2021
David Madras
D. Psaltis
CMLOOD
202
5
0
25 Oct 2021
Diagnosing Errors in Video Relation Detectors
Diagnosing Errors in Video Relation DetectorsBritish Machine Vision Conference (BMVC), 2021
Shuo Chen
Pascal Mettes
Cees G. M. Snoek
176
5
0
25 Oct 2021
Parameter Prediction for Unseen Deep Architectures
Parameter Prediction for Unseen Deep ArchitecturesNeural Information Processing Systems (NeurIPS), 2021
Boris Knyazev
M. Drozdzal
Graham W. Taylor
Adriana Romero Soriano
OOD
269
97
0
25 Oct 2021
Robbing the Fed: Directly Obtaining Private Data in Federated Learning
  with Modified Models
Robbing the Fed: Directly Obtaining Private Data in Federated Learning with Modified Models
Liam H. Fowl
Jonas Geiping
W. Czaja
Micah Goldblum
Tom Goldstein
FedML
354
169
0
25 Oct 2021
Applications and Techniques for Fast Machine Learning in Science
Applications and Techniques for Fast Machine Learning in ScienceFrontiers in Big Data (Front. Big Data), 2021
A. Deiana
Nhan Tran
Joshua C. Agar
Michaela Blott
G. D. Guglielmo
...
Ashish Sharma
S. Summers
Pietro Vischia
J. Vlimant
Olivia Weng
214
81
0
25 Oct 2021
Modeling Category-Selective Cortical Regions with Topographic
  Variational Autoencoders
Modeling Category-Selective Cortical Regions with Topographic Variational Autoencoders
Thomas Anderson Keller
Qinghe Gao
Max Welling
OOD
170
19
0
25 Oct 2021
Exploring Gradient Flow Based Saliency for DNN Model Compression
Exploring Gradient Flow Based Saliency for DNN Model CompressionACM Multimedia (ACM MM), 2021
Xinyu Liu
Baopu Li
Daming Gao
Yixuan Yuan
FAtt
149
9
0
24 Oct 2021
Generalized Resubstitution for Classification Error Estimation
Generalized Resubstitution for Classification Error EstimationJournal of machine learning research (JMLR), 2021
P. Ghane
U. Braga-Neto
36
2
0
23 Oct 2021
Self-Validation: Early Stopping for Single-Instance Deep Generative
  Priors
Self-Validation: Early Stopping for Single-Instance Deep Generative PriorsBritish Machine Vision Conference (BMVC), 2021
Taihui Li
Yen-Jung Chang
Hengyue Liang
L. Peng
Meiping Huang
Ju Sun
181
26
0
23 Oct 2021
ES-ImageNet: A Million Event-Stream Classification Dataset for Spiking
  Neural Networks
ES-ImageNet: A Million Event-Stream Classification Dataset for Spiking Neural NetworksFrontiers in Neuroscience (Front. Neurosci.), 2021
Yihan Lin
Wei Ding
Shaohua Qiang
Lei Deng
Guoqi Li
AI4TS
194
39
0
23 Oct 2021
MaskSplit: Self-supervised Meta-learning for Few-shot Semantic
  Segmentation
MaskSplit: Self-supervised Meta-learning for Few-shot Semantic SegmentationIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2021
Yunxin Li
Ahmet Sencan
Yunxin Ding
Nazli Ikizler-Cinbis
Hao Fei
VLMSSL
209
17
0
23 Oct 2021
AFEC: Active Forgetting of Negative Transfer in Continual Learning
AFEC: Active Forgetting of Negative Transfer in Continual LearningNeural Information Processing Systems (NeurIPS), 2021
John Giorgi
Mingtian Zhang
Zhongfan Jia
Qian Li
Chenglong Bao
Kaisheng Ma
Jun Zhu
Yi Zhong
CLL
191
107
0
23 Oct 2021
A Simple Baseline for Low-Budget Active Learning
A Simple Baseline for Low-Budget Active Learning
Kossar Pourahmadi
Parsa Nooralinejad
Hamed Pirsiavash
234
21
0
22 Oct 2021
When to Prune? A Policy towards Early Structural Pruning
When to Prune? A Policy towards Early Structural PruningComputer Vision and Pattern Recognition (CVPR), 2021
Maying Shen
Pavlo Molchanov
Hongxu Yin
J. Álvarez
VLM
253
69
0
22 Oct 2021
Bayesian Optimization and Deep Learning forsteering wheel angle
  prediction
Bayesian Optimization and Deep Learning forsteering wheel angle predictionScientific Reports (Sci Rep), 2021
Alessandro Riboni
Nicolò Ghioldi
Antonio Candelieri
M. Borrotti
LLMSV
98
17
0
22 Oct 2021
Domain Adaptation and Active Learning for Fine-Grained Recognition in
  the Field of Biodiversity
Domain Adaptation and Active Learning for Fine-Grained Recognition in the Field of Biodiversity
Bernd Gruner
Matthias Körschens
Björn Barz
Joachim Denzler
143
0
0
22 Oct 2021
Deep Two-Stream Video Inference for Human Body Pose and Shape Estimation
Deep Two-Stream Video Inference for Human Body Pose and Shape EstimationIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2021
Zi-Jun Li
Bo Xu
Han Huang
Cheng Lu
Yandong Guo
3DH
131
14
0
22 Oct 2021
ProtoShotXAI: Using Prototypical Few-Shot Architecture for Explainable
  AI
ProtoShotXAI: Using Prototypical Few-Shot Architecture for Explainable AIJournal of machine learning research (JMLR), 2021
Samuel Hess
G. Ditzler
AAML
271
1
0
22 Oct 2021
Cortico-cerebellar networks as decoupling neural interfaces
Cortico-cerebellar networks as decoupling neural interfacesNeural Information Processing Systems (NeurIPS), 2021
J. Pemberton
E. Boven
Richard Apps
Rui Ponte Costa
179
7
0
21 Oct 2021
A Fine-Grained Analysis on Distribution Shift
A Fine-Grained Analysis on Distribution ShiftInternational Conference on Learning Representations (ICLR), 2021
Olivia Wiles
Sven Gowal
Florian Stimberg
Sylvestre-Alvise Rebuffi
Ira Ktena
Krishnamurthy Dvijotham
A. Cemgil
OOD
617
243
0
21 Oct 2021
Learning 3D Semantic Segmentation with only 2D Image Supervision
Learning 3D Semantic Segmentation with only 2D Image SupervisionInternational Conference on 3D Vision (3DV), 2021
Kyle Genova
Xiaoqi Yin
Abhijit Kundu
C. Pantofaru
Forrester Cole
Avneesh Sud
B. Brewington
B. Shucker
Thomas Funkhouser
3DPC
147
94
0
21 Oct 2021
Multi-Object Tracking and Segmentation with a Space-Time Memory Network
Multi-Object Tracking and Segmentation with a Space-Time Memory NetworkCanadian Conference on Computer and Robot Vision (CRV), 2021
Mehdi Miah
Guillaume-Alexandre Bilodeau
Nicolas Saunier
VOSVOT
271
3
0
21 Oct 2021
Self-Supervised Monocular Scene Decomposition and Depth Estimation
Self-Supervised Monocular Scene Decomposition and Depth EstimationInternational Conference on 3D Vision (3DV), 2021
Sadra Safadoust
Fatma Guney
OCLMDE
172
9
0
21 Oct 2021
Improving the Deployment of Recycling Classification through Efficient
  Hyper-Parameter Analysis
Improving the Deployment of Recycling Classification through Efficient Hyper-Parameter Analysis
Mazin Abdulmahmood
R. Grammenos
157
2
0
21 Oct 2021
Spatial Location Constraint Prototype Loss for Open Set Recognition
Spatial Location Constraint Prototype Loss for Open Set RecognitionComputer Vision and Image Understanding (CVIU), 2021
Ziheng Xia
Ganggang Dong
Penghui Wang
Hongwei Liu
UQCVBDL
128
30
0
21 Oct 2021
Memory Efficient Adaptive Attention For Multiple Domain Learning
Memory Efficient Adaptive Attention For Multiple Domain Learning
H. P. Aswani
Abhiraj S Kanse
Shubhang Bhatnagar
Amit Sethi
204
1
0
21 Oct 2021
HALP: Hardware-Aware Latency Pruning
HALP: Hardware-Aware Latency Pruning
Maying Shen
Hongxu Yin
Pavlo Molchanov
Lei Mao
Jianna Liu
J. Álvarez
VLM
189
16
0
20 Oct 2021
Class Incremental Online Streaming Learning
Class Incremental Online Streaming Learning
S. Banerjee
Vinay Kumar Verma
T. Parag
M. Singh
Vinay P. Namboodiri
CLL
153
4
0
20 Oct 2021
A Deep Learning Framework for Diffeomorphic Mapping Problems via
  Quasi-conformal Geometry applied to Imaging
A Deep Learning Framework for Diffeomorphic Mapping Problems via Quasi-conformal Geometry applied to ImagingSIAM Journal of Imaging Sciences (SIAM J. Imaging Sci.), 2021
Qiguang Chen
Zhiwen Li
L. Lui
MedIm
163
9
0
20 Oct 2021
Behavioral Experiments for Understanding Catastrophic Forgetting
Behavioral Experiments for Understanding Catastrophic Forgetting
Samuel J. Bell
Neil D. Lawrence
220
4
0
20 Oct 2021
Inference Graphs for CNN Interpretation
Inference Graphs for CNN InterpretationEuropean Conference on Computer Vision (ECCV), 2021
Yael Konforti
Alon Shpigler
Aharon Bar-Hillel
FAttGNN
122
4
0
20 Oct 2021
Ranking and Tuning Pre-trained Models: A New Paradigm for Exploiting
  Model Hubs
Ranking and Tuning Pre-trained Models: A New Paradigm for Exploiting Model HubsJournal of machine learning research (JMLR), 2021
Kaichao You
Yong Liu
Ziyang Zhang
Jianmin Wang
Sai Li
Mingsheng Long
408
38
0
20 Oct 2021
Classification of PS and ABS Black Plastics for WEEE Recycling
  Applications
Classification of PS and ABS Black Plastics for WEEE Recycling Applications
A. Persson
Xiaoning Du
Mingze Ni
77
2
0
20 Oct 2021
Improving Model Generalization by Agreement of Learned Representations
  from Data Augmentation
Improving Model Generalization by Agreement of Learned Representations from Data AugmentationIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2021
Rowel Atienza
ViT
218
12
0
20 Oct 2021
Contextual Gradient Scaling for Few-Shot Learning
Contextual Gradient Scaling for Few-Shot LearningIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2021
Sang Hyuk Lee
Seunghyun Lee
B. Song
135
8
0
20 Oct 2021
GTM: Gray Temporal Model for Video Recognition
GTM: Gray Temporal Model for Video Recognition
Yanping Zhang
Yongxin Yu
92
1
0
20 Oct 2021
R$^3$Net:Relation-embedded Representation Reconstruction Network for
  Change Captioning
R3^33Net:Relation-embedded Representation Reconstruction Network for Change CaptioningConference on Empirical Methods in Natural Language Processing (EMNLP), 2021
Yunbin Tu
Liang Li
C. Yan
Shengxiang Gao
Zhengtao Yu
179
28
0
20 Oct 2021
When in Doubt, Summon the Titans: Efficient Inference with Large Models
When in Doubt, Summon the Titans: Efficient Inference with Large Models
A. S. Rawat
Manzil Zaheer
A. Menon
Amr Ahmed
Sanjiv Kumar
116
8
0
19 Oct 2021
NAS-HPO-Bench-II: A Benchmark Dataset on Joint Optimization of
  Convolutional Neural Network Architecture and Training Hyperparameters
NAS-HPO-Bench-II: A Benchmark Dataset on Joint Optimization of Convolutional Neural Network Architecture and Training Hyperparameters
Yoichi Hirose
Nozomu Yoshinari
Shinichi Shirakawa
157
18
0
19 Oct 2021
Talking Head Generation with Audio and Speech Related Facial Action
  Units
Talking Head Generation with Audio and Speech Related Facial Action Units
Sen Chen
Zhilei Liu
Jiaxing Liu
Zhengxiang Yan
Longbiao Wang
CVBM
119
18
0
19 Oct 2021
Adaptive Distillation: Aggregating Knowledge from Multiple Paths for
  Efficient Distillation
Adaptive Distillation: Aggregating Knowledge from Multiple Paths for Efficient Distillation
Sumanth Chennupati
Mohammad Mahdi Kamani
Zhongwei Cheng
Lin Chen
240
4
0
19 Oct 2021
MEMO: Test Time Robustness via Adaptation and Augmentation
MEMO: Test Time Robustness via Adaptation and Augmentation
Marvin Zhang
Sergey Levine
Chelsea Finn
OODTTA
504
442
0
18 Oct 2021
TLDR: Twin Learning for Dimensionality Reduction
TLDR: Twin Learning for Dimensionality Reduction
Yannis Kalantidis
Carlos Lassance
Jon Almazán
Diane Larlus
SSL
224
12
0
18 Oct 2021
Squeezing Backbone Feature Distributions to the Max for Efficient
  Few-Shot Learning
Squeezing Backbone Feature Distributions to the Max for Efficient Few-Shot Learning
Yuqing Hu
Vincent Gripon
S. Pateux
165
39
0
18 Oct 2021
Graph convolutional network for predicting abnormal grain growth in
  Monte Carlo simulations of microstructural evolution
Graph convolutional network for predicting abnormal grain growth in Monte Carlo simulations of microstructural evolution
R. Cohn
Elizabeth A. Holm
156
3
0
18 Oct 2021
Incremental Cross-Domain Adaptation for Robust Retinopathy Screening via
  Bayesian Deep Learning
Incremental Cross-Domain Adaptation for Robust Retinopathy Screening via Bayesian Deep Learning
Taimur Hassan
Bilal Hassan
M. Akram
Shahrukh K Hashmi
A. Taguri
Naoufel Werghi
OOD
198
21
0
18 Oct 2021
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