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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 / 13,079 papers shown
Reinforcing Local Feature Representation for Weakly-Supervised Dense
  Crowd Counting
Reinforcing Local Feature Representation for Weakly-Supervised Dense Crowd Counting
Xiaoshuang Chen
Hongtao Lu
SSL
212
8
0
22 Feb 2022
A Tutorial on Adversarial Learning Attacks and Countermeasures
A Tutorial on Adversarial Learning Attacks and Countermeasures
Cato Pauling
Michael Gimson
Muhammed Qaid
Ahmad Kida
Basel Halak
AAML
203
12
0
21 Feb 2022
A Review of Emerging Research Directions in Abstract Visual Reasoning
A Review of Emerging Research Directions in Abstract Visual ReasoningInformation Fusion (Inf. Fusion), 2022
Mikolaj Malkiñski
Jacek Mańdziuk
295
47
0
21 Feb 2022
A Self-Supervised Descriptor for Image Copy Detection
A Self-Supervised Descriptor for Image Copy DetectionComputer Vision and Pattern Recognition (CVPR), 2022
Ed Pizzi
Sreya . Dutta Roy
Sugosh Nagavara Ravindra
Priya Goyal
Matthijs Douze
SSL
394
167
0
21 Feb 2022
Fine-Tuning can Distort Pretrained Features and Underperform
  Out-of-Distribution
Fine-Tuning can Distort Pretrained Features and Underperform Out-of-DistributionInternational Conference on Learning Representations (ICLR), 2022
Ananya Kumar
Aditi Raghunathan
Robbie Jones
Tengyu Ma
Abigail Z. Jacobs
OODD
309
828
0
21 Feb 2022
Continual Learning Beyond a Single Model
Continual Learning Beyond a Single Model
T. Doan
Seyed Iman Mirzadeh
Mehrdad Farajtabar
CLL
358
22
0
20 Feb 2022
Echofilter: A Deep Learning Segmentation Model Improves the Automation,
  Standardization, and Timeliness for Post-Processing Echosounder Data in Tidal
  Energy Streams
Echofilter: A Deep Learning Segmentation Model Improves the Automation, Standardization, and Timeliness for Post-Processing Echosounder Data in Tidal Energy StreamsFrontiers in Marine Science (Front. Mar. Sci.), 2022
S. Lowe
L. McGarry
Jessica Douglas
Jason Newport
Sageev Oore
Chris Whidden
Daniel J. Hasselman
227
5
0
19 Feb 2022
Explaining, Evaluating and Enhancing Neural Networks' Learned
  Representations
Explaining, Evaluating and Enhancing Neural Networks' Learned RepresentationsInternational Conference on Artificial Neural Networks (ICANN), 2022
Marco Bertolini
Djork-Arné Clevert
F. Montanari
FAtt
186
6
0
18 Feb 2022
Amenable Sparse Network Investigator
Amenable Sparse Network Investigator
S. Damadi
Erfan Nouri
Hamed Pirsiavash
102
4
0
18 Feb 2022
Resurrecting Trust in Facial Recognition: Mitigating Backdoor Attacks in
  Face Recognition to Prevent Potential Privacy Breaches
Resurrecting Trust in Facial Recognition: Mitigating Backdoor Attacks in Face Recognition to Prevent Potential Privacy Breaches
Reena Zelenkova
J. Swallow
Pathum Chamikara Mahawaga Arachchige
Dongxi Liu
Mohan Baruwal Chhetri
S. Çamtepe
M. Grobler
Mahathir Almashor
AAML
111
2
0
18 Feb 2022
LG-LSQ: Learned Gradient Linear Symmetric Quantization
LG-LSQ: Learned Gradient Linear Symmetric Quantization
Shih-Ting Lin
Zhaofang Li
Yu-Hsiang Cheng
Hao-Wen Kuo
Chih-Cheng Lu
K. Tang
MQ
170
6
0
18 Feb 2022
R2-D2: Repetitive Reprediction Deep Decipher for Semi-Supervised Deep
  Learning
R2-D2: Repetitive Reprediction Deep Decipher for Semi-Supervised Deep Learning
G. Wang
Jianxin Wu
110
1
0
18 Feb 2022
Rethinking Machine Learning Robustness via its Link with the
  Out-of-Distribution Problem
Rethinking Machine Learning Robustness via its Link with the Out-of-Distribution Problem
Abderrahmen Amich
Birhanu Eshete
OOD
126
4
0
18 Feb 2022
A study of deep perceptual metrics for image quality assessment
A study of deep perceptual metrics for image quality assessment
Rémi Kazmierczak
Gianni Franchi
Nacim Belkhir
Antoine Manzanera
David Filliat
99
4
0
17 Feb 2022
Where Is My Training Bottleneck? Hidden Trade-Offs in Deep Learning
  Preprocessing Pipelines
Where Is My Training Bottleneck? Hidden Trade-Offs in Deep Learning Preprocessing Pipelines
Alexander Isenko
R. Mayer
Jeffrey Jedele
Hans-Arno Jacobsen
322
28
0
17 Feb 2022
Domain Randomization for Object Counting
Domain Randomization for Object CountingIrish Conference on Artificial Intelligence and Cognitive Science (IAICS), 2022
Enric Moreu
Kevin McGuinness
Diego Ortego
Noel E. O'Connor
144
8
0
17 Feb 2022
Semantically Proportional Patchmix for Few-Shot Learning
Semantically Proportional Patchmix for Few-Shot LearningIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2022
Jingquan Wang
Jing Xu
Yu Pan
Zenglin Xu
VLM
128
1
0
17 Feb 2022
Visual Ground Truth Construction as Faceted Classification
Visual Ground Truth Construction as Faceted Classification
Fausto Giunchiglia
Mayukh Bagchi
Xiaolei Diao
113
5
0
17 Feb 2022
CLS: Cross Labeling Supervision for Semi-Supervised Learning
CLS: Cross Labeling Supervision for Semi-Supervised Learning
Yao Yao
Ju Shen
Jin Xu
Bin Zhong
Li Xiao
117
4
0
17 Feb 2022
Vision Models Are More Robust And Fair When Pretrained On Uncurated
  Images Without Supervision
Vision Models Are More Robust And Fair When Pretrained On Uncurated Images Without Supervision
Priya Goyal
Quentin Duval
Isaac Seessel
Mathilde Caron
Ishan Misra
Levent Sagun
Armand Joulin
Piotr Bojanowski
VLMSSL
410
122
0
16 Feb 2022
Nuclei Segmentation with Point Annotations from Pathology Images via
  Self-Supervised Learning and Co-Training
Nuclei Segmentation with Point Annotations from Pathology Images via Self-Supervised Learning and Co-Training
Yi Lin
Z. Qu
Hao Chen
Zhongke Gao
Yuexiang Li
Lili Xia
Kai Ma
Yefeng Zheng
Kwang-Ting Cheng
159
40
0
16 Feb 2022
Practical Network Acceleration with Tiny Sets
Practical Network Acceleration with Tiny SetsComputer Vision and Pattern Recognition (CVPR), 2022
G. Wang
Jianxin Wu
174
14
0
16 Feb 2022
Fairness Indicators for Systematic Assessments of Visual Feature
  Extractors
Fairness Indicators for Systematic Assessments of Visual Feature ExtractorsConference on Fairness, Accountability and Transparency (FAccT), 2022
Priya Goyal
Adriana Romero Soriano
C. Hazirbas
Levent Sagun
Nicolas Usunier
EGVM
217
35
0
15 Feb 2022
DualConv: Dual Convolutional Kernels for Lightweight Deep Neural
  Networks
DualConv: Dual Convolutional Kernels for Lightweight Deep Neural NetworksIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022
Jiachen Zhong
Junying Chen
Lin Wang
102
111
0
15 Feb 2022
Deep Learning-based Anomaly Detection on X-ray Images of Fuel Cell
  Electrodes
Deep Learning-based Anomaly Detection on X-ray Images of Fuel Cell ElectrodesVISIGRAPP (VISIGRAPP), 2022
S. B. Jensen
T. Moeslund
S. J. Andreasen
MedIm
118
1
0
15 Feb 2022
Using Social Media Images for Building Function Classification
Using Social Media Images for Building Function ClassificationCities (Cities), 2022
E. J. Hoffmann
Karam Abdulahhad
Xiao Xiang Zhu
144
37
0
15 Feb 2022
Neural Architecture Search for Dense Prediction Tasks in Computer Vision
Neural Architecture Search for Dense Prediction Tasks in Computer VisionInternational Journal of Computer Vision (IJCV), 2022
T. Elsken
Arber Zela
J. H. Metzen
B. Staffler
Thomas Brox
Abhinav Valada
Katharina Eggensperger
OOD
167
23
0
15 Feb 2022
One Step at a Time: Long-Horizon Vision-and-Language Navigation with
  Milestones
One Step at a Time: Long-Horizon Vision-and-Language Navigation with MilestonesComputer Vision and Pattern Recognition (CVPR), 2022
Chan Hee Song
Jihyung Kil
Tai-Yu Pan
Brian M. Sadler
Wei-Lun Chao
Yu-Chuan Su
LRM
340
39
0
14 Feb 2022
A Survey of Visual Sensory Anomaly Detection
A Survey of Visual Sensory Anomaly Detection
Xi Jiang
Guoyang Xie
Jinbao Wang
Yong Liu
Chengjie Wang
Feng Zheng
Yaochu Jin
145
20
0
14 Feb 2022
Quantus: An Explainable AI Toolkit for Responsible Evaluation of Neural
  Network Explanations and Beyond
Quantus: An Explainable AI Toolkit for Responsible Evaluation of Neural Network Explanations and BeyondJournal of machine learning research (JMLR), 2022
Anna Hedström
Leander Weber
Dilyara Bareeva
Daniel G. Krakowczyk
Franz Motzkus
Wojciech Samek
Sebastian Lapuschkin
Marina M.-C. Höhne
XAIELM
367
222
0
14 Feb 2022
A Real-time System for Detecting Landslide Reports on Social Media using
  Artificial Intelligence
A Real-time System for Detecting Landslide Reports on Social Media using Artificial IntelligenceInternational Conference on Web Engineering (ICWE), 2022
Ferda Ofli
U. Qazi
Muhammad Imran
J. Roch
C. Pennington
V. Banks
R. Bossu
194
6
0
14 Feb 2022
How Do Vision Transformers Work?
How Do Vision Transformers Work?International Conference on Learning Representations (ICLR), 2022
Namuk Park
Songkuk Kim
ViT
479
601
0
14 Feb 2022
Learning Weakly-Supervised Contrastive Representations
Learning Weakly-Supervised Contrastive RepresentationsInternational Conference on Learning Representations (ICLR), 2022
Yifan Hao
Tianqi Li
Weixin Liu
Pei-Kai Liao
Ruslan Salakhutdinov
Louis-Philippe Morency
SSL
116
10
0
14 Feb 2022
PFGE: Parsimonious Fast Geometric Ensembling of DNNs
PFGE: Parsimonious Fast Geometric Ensembling of DNNsInternational Conference on Intelligent Computing (ICIC), 2022
Hao Guo
Jiyong Jin
B. Liu
FedML
437
1
0
14 Feb 2022
Measurably Stronger Explanation Reliability via Model Canonization
Measurably Stronger Explanation Reliability via Model CanonizationInternational Conference on Information Photonics (ICIP), 2022
Franz Motzkus
Leander Weber
Sebastian Lapuschkin
FAtt
113
9
0
14 Feb 2022
Memory Replay with Data Compression for Continual Learning
Memory Replay with Data Compression for Continual LearningInternational Conference on Learning Representations (ICLR), 2022
Liyuan Wang
Xingxing Zhang
Kuo Yang
L. Yu
Chongxuan Li
Lanqing Hong
Shifeng Zhang
Zhenguo Li
Yi Zhong
Jun Zhu
224
123
0
14 Feb 2022
MetaShift: A Dataset of Datasets for Evaluating Contextual Distribution
  Shifts and Training Conflicts
MetaShift: A Dataset of Datasets for Evaluating Contextual Distribution Shifts and Training ConflictsInternational Conference on Learning Representations (ICLR), 2022
Weixin Liang
James Zou
OOD
209
97
0
14 Feb 2022
NeuroMixGDP: A Neural Collapse-Inspired Random Mixup for Private Data
  Release
NeuroMixGDP: A Neural Collapse-Inspired Random Mixup for Private Data Release
Donghao Li
Yang Cao
Xingtai Lv
278
2
0
14 Feb 2022
Excitement Surfeited Turns to Errors: Deep Learning Testing Framework
  Based on Excitable Neurons
Excitement Surfeited Turns to Errors: Deep Learning Testing Framework Based on Excitable NeuronsInformation Sciences (Inf. Sci.), 2022
Haibo Jin
Ruoxi Chen
Haibin Zheng
Jinyin Chen
Yao Cheng
Yue Yu
Xianglong Liu
AAML
224
6
0
12 Feb 2022
On the Complementarity of Images and Text for the Expression of Emotions
  in Social Media
On the Complementarity of Images and Text for the Expression of Emotions in Social MediaWorkshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis (WASSA), 2022
Anna Khlyzova
Carina Silberer
Roman Klinger
164
4
0
11 Feb 2022
Exemplar-free Online Continual Learning
Exemplar-free Online Continual LearningInternational Conference on Information Photonics (ICIP), 2022
Jiangpeng He
Fengqing Zhu
CLL
160
20
0
11 Feb 2022
Conditional Contrastive Learning with Kernel
Conditional Contrastive Learning with KernelInternational Conference on Learning Representations (ICLR), 2022
Yifan Hao
Tianqi Li
Martin Q. Ma
Han Zhao
Kun Zhang
Louis-Philippe Morency
Ruslan Salakhutdinov
234
29
0
11 Feb 2022
Paraphrasing Magritte's Observation
Paraphrasing Magritte's Observation
Jesús Malo
59
1
0
11 Feb 2022
Towards Disentangling Information Paths with Coded ResNeXt
Towards Disentangling Information Paths with Coded ResNeXtNeural Information Processing Systems (NeurIPS), 2022
Apostolos Avranas
Marios Kountouris
FAtt
192
1
0
10 Feb 2022
Feature-level augmentation to improve robustness of deep neural networks
  to affine transformations
Feature-level augmentation to improve robustness of deep neural networks to affine transformations
A. Sandru
Mariana-Iuliana Georgescu
Radu Tudor Ionescu
OOD
367
6
0
10 Feb 2022
Real-Time Siamese Multiple Object Tracker with Enhanced Proposals
Real-Time Siamese Multiple Object Tracker with Enhanced ProposalsPattern Recognition (Pattern Recogn.), 2022
Lorenzo Vaquero
V. Brea
M. Mucientes
VOT
251
0
0
10 Feb 2022
Point-Level Region Contrast for Object Detection Pre-Training
Point-Level Region Contrast for Object Detection Pre-TrainingComputer Vision and Pattern Recognition (CVPR), 2022
Yutong Bai
Xinlei Chen
Alexander Kirillov
Alan Yuille
Alexander C. Berg
3DPC
233
54
0
09 Feb 2022
A Reinforcement Learning Approach to Domain-Knowledge Inclusion Using
  Grammar Guided Symbolic Regression
A Reinforcement Learning Approach to Domain-Knowledge Inclusion Using Grammar Guided Symbolic Regression
Laure Crochepierre
Lydia Boudjeloud
Vincent Barbesant
119
5
0
09 Feb 2022
Learning Robust Convolutional Neural Networks with Relevant Feature
  Focusing via Explanations
Learning Robust Convolutional Neural Networks with Relevant Feature Focusing via ExplanationsIEEE International Conference on Multimedia and Expo (ICME), 2022
Kazuki Adachi
Shin'ya Yamaguchi
OOD
157
0
0
09 Feb 2022
Towards Compositional Adversarial Robustness: Generalizing Adversarial
  Training to Composite Semantic Perturbations
Towards Compositional Adversarial Robustness: Generalizing Adversarial Training to Composite Semantic PerturbationsComputer Vision and Pattern Recognition (CVPR), 2022
Lei Hsiung
Yun-Yun Tsai
Pin-Yu Chen
Tsung-Yi Ho
AAML
222
42
0
09 Feb 2022
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