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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
If a Human Can See It, So Should Your System: Reliability Requirements
  for Machine Vision Components
If a Human Can See It, So Should Your System: Reliability Requirements for Machine Vision ComponentsInternational Conference on Software Engineering (ICSE), 2022
Boyue Caroline Hu
Lina Marsso
Krzysztof Czarnecki
Rick Salay
Huakun Shen
Marsha Chechik
223
32
0
08 Feb 2022
STC: Spatio-Temporal Contrastive Learning for Video Instance
  Segmentation
STC: Spatio-Temporal Contrastive Learning for Video Instance Segmentation
Zhengkai Jiang
Zhangxuan Gu
Jinlong Peng
Hang Zhou
Liang Liu
Yabiao Wang
Ying Tai
Chengjie Wang
Liqing Zhang
178
17
0
08 Feb 2022
Network Comparison Study of Deep Activation Feature Discriminability
  with Novel Objects
Network Comparison Study of Deep Activation Feature Discriminability with Novel Objects
Michael Karnes
Alper Yilmaz
164
0
0
08 Feb 2022
FrePGAN: Robust Deepfake Detection Using Frequency-level Perturbations
FrePGAN: Robust Deepfake Detection Using Frequency-level PerturbationsAAAI Conference on Artificial Intelligence (AAAI), 2022
Yonghyun Jeong
Doyeon Kim
Youngmin Ro
Jongwon Choi
AAML
363
135
0
07 Feb 2022
A Review of Landcover Classification with Very-High Resolution Remotely
  Sensed Optical Images-Analysis Unit,Model Scalability and Transferability
A Review of Landcover Classification with Very-High Resolution Remotely Sensed Optical Images-Analysis Unit,Model Scalability and TransferabilityRemote Sensing (RS), 2022
R. Qin
Tao Liu
224
77
0
07 Feb 2022
Context Autoencoder for Self-Supervised Representation Learning
Context Autoencoder for Self-Supervised Representation LearningInternational Journal of Computer Vision (IJCV), 2022
Xiaokang Chen
Mingyu Ding
Xiaodi Wang
Ying Xin
Shentong Mo
Yunhao Wang
Shumin Han
Ping Luo
Gang Zeng
Jingdong Wang
SSL
484
451
0
07 Feb 2022
Evaluation Methods and Measures for Causal Learning Algorithms
Evaluation Methods and Measures for Causal Learning AlgorithmsIEEE Transactions on Artificial Intelligence (IEEE TAI), 2022
Lu Cheng
Ruocheng Guo
Raha Moraffah
Paras Sheth
K. S. Candan
Huan Liu
CMLELM
246
72
0
07 Feb 2022
Learning Features with Parameter-Free Layers
Learning Features with Parameter-Free LayersInternational Conference on Learning Representations (ICLR), 2022
Dongyoon Han
Y. Yoo
Beomyoung Kim
Byeongho Heo
264
9
0
06 Feb 2022
Few-shot Learning as Cluster-induced Voronoi Diagrams: A Geometric
  Approach
Few-shot Learning as Cluster-induced Voronoi Diagrams: A Geometric Approach
Chunwei Ma
Ziyun Huang
Mingchen Gao
Jinhui Xu
195
5
0
05 Feb 2022
EcoFlow: Efficient Convolutional Dataflows for Low-Power Neural Network
  Accelerators
EcoFlow: Efficient Convolutional Dataflows for Low-Power Neural Network Accelerators
Lois Orosa
Skanda Koppula
Yaman Umuroglu
Konstantinos Kanellopoulos
Juan Gómez Luna
Michaela Blott
K. Vissers
O. Mutlu
193
4
0
04 Feb 2022
Iterative Self Knowledge Distillation -- From Pothole Classification to
  Fine-Grained and COVID Recognition
Iterative Self Knowledge Distillation -- From Pothole Classification to Fine-Grained and COVID RecognitionIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2022
Kuan-Chuan Peng
211
4
0
04 Feb 2022
Personalized visual encoding model construction with small data
Personalized visual encoding model construction with small dataCommunications Biology (CB), 2022
Zijin Gu
K. Jamison
M. Sabuncu
Amy Kuceyeski
115
15
0
04 Feb 2022
Stochastic smoothing of the top-K calibrated hinge loss for deep
  imbalanced classification
Stochastic smoothing of the top-K calibrated hinge loss for deep imbalanced classificationInternational Conference on Machine Learning (ICML), 2022
Camille Garcin
Maximilien Servajean
Alexis Joly
Joseph Salmon
186
13
0
04 Feb 2022
The Met Dataset: Instance-level Recognition for Artworks
The Met Dataset: Instance-level Recognition for Artworks
Nikolaos-Antonios Ypsilantis
Noa Garcia
G. Han
Sarah Ibrahimi
Nanne van Noord
Giorgos Tolias
200
54
0
03 Feb 2022
Certifying Out-of-Domain Generalization for Blackbox Functions
Certifying Out-of-Domain Generalization for Blackbox FunctionsInternational Conference on Machine Learning (ICML), 2022
Maurice Weber
Linyi Li
Wei Ping
Zhikuan Zhao
Yue Liu
Ce Zhang
OOD
228
19
0
03 Feb 2022
Deep Hierarchy in Bandits
Deep Hierarchy in BanditsInternational Conference on Machine Learning (ICML), 2022
Joey Hong
Branislav Kveton
S. Katariya
Manzil Zaheer
Mohammad Ghavamzadeh
195
20
0
03 Feb 2022
The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective
The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective
Satyapriya Krishna
Tessa Han
Alex Gu
Steven Wu
S. Jabbari
Himabindu Lakkaraju
760
241
0
03 Feb 2022
Smoothed Embeddings for Certified Few-Shot Learning
Smoothed Embeddings for Certified Few-Shot LearningNeural Information Processing Systems (NeurIPS), 2022
Mikhail Aleksandrovich Pautov
Olesya Kuznetsova
Nurislam Tursynbek
Aleksandr Petiushko
Ivan Oseledets
283
8
0
02 Feb 2022
AtmoDist: Self-supervised Representation Learning for Atmospheric
  Dynamics
AtmoDist: Self-supervised Representation Learning for Atmospheric DynamicsEnvironmental Data Science (EDS), 2022
Sebastian Hoffmann
C. Lessig
AI4Cl
201
14
0
02 Feb 2022
Finding Biological Plausibility for Adversarially Robust Features via
  Metameric Tasks
Finding Biological Plausibility for Adversarially Robust Features via Metameric TasksInternational Conference on Learning Representations (ICLR), 2022
A. Harrington
Arturo Deza
OODAAML
343
22
0
02 Feb 2022
Nonlinear Initialization Methods for Low-Rank Neural Networks
Nonlinear Initialization Methods for Low-Rank Neural Networks
Kiran Vodrahalli
Rakesh Shivanna
M. Sathiamoorthy
Sagar Jain
Ed H. Chi
238
4
0
02 Feb 2022
Fishing for User Data in Large-Batch Federated Learning via Gradient
  Magnification
Fishing for User Data in Large-Batch Federated Learning via Gradient MagnificationInternational Conference on Machine Learning (ICML), 2022
Yuxin Wen
Jonas Geiping
Liam H. Fowl
Micah Goldblum
Tom Goldstein
FedML
454
110
0
01 Feb 2022
Few-Bit Backward: Quantized Gradients of Activation Functions for Memory
  Footprint Reduction
Few-Bit Backward: Quantized Gradients of Activation Functions for Memory Footprint ReductionInternational Conference on Machine Learning (ICML), 2022
Georgii Sergeevich Novikov
Daniel Bershatsky
Julia Gusak
Alex Shonenkov
Denis Dimitrov
Ivan Oseledets
MQ
210
18
0
01 Feb 2022
Minority Class Oriented Active Learning for Imbalanced Datasets
Minority Class Oriented Active Learning for Imbalanced DatasetsInternational Conference on Pattern Recognition (ICPR), 2021
Umang Aggarwal
Adrian Daniel Popescu
C´eline Hudelot
356
16
0
01 Feb 2022
A Comparative Study of Calibration Methods for Imbalanced Class
  Incremental Learning
A Comparative Study of Calibration Methods for Imbalanced Class Incremental LearningMultimedia tools and applications (MTA), 2021
Umang Aggarwal
Adrian Daniel Popescu
Eden Belouadah
C´eline Hudelot
CLL
244
5
0
01 Feb 2022
Access Control of Object Detection Models Using Encrypted Feature Maps
Access Control of Object Detection Models Using Encrypted Feature MapsGlobal Conference on Life Sciences and Technologies (GLST), 2022
Teru Nagamori
Hiroki Ito
April Pyone Maung Maung
Hitoshi Kiya
317
1
0
01 Feb 2022
Tutorial on amortized optimization
Tutorial on amortized optimization
Brandon Amos
OffRL
809
76
0
01 Feb 2022
Holistic Fine-grained GGS Characterization: From Detection to Unbalanced
  Classification
Holistic Fine-grained GGS Characterization: From Detection to Unbalanced Classification
Yuzhe Lu
Haichun Yang
Zuhayr Asad
Zheyu Zhu
Tianyuan Yao
Jiachen Xu
Agnes B. Fogo
Yuankai Huo
249
1
0
31 Jan 2022
Few-Shot Backdoor Attacks on Visual Object Tracking
Few-Shot Backdoor Attacks on Visual Object TrackingInternational Conference on Learning Representations (ICLR), 2022
Yiming Li
Haoxiang Zhong
Jiabo He
Yong Jiang
Shutao Xia
AAML
170
57
0
31 Jan 2022
Imperceptible and Multi-channel Backdoor Attack against Deep Neural
  Networks
Imperceptible and Multi-channel Backdoor Attack against Deep Neural Networks
Mingfu Xue
S. Ni
Ying-Chang Wu
Yushu Zhang
Jian Wang
Weiqiang Liu
AAML
185
20
0
31 Jan 2022
Corpus for Automatic Structuring of Legal Documents
Corpus for Automatic Structuring of Legal DocumentsInternational Conference on Language Resources and Evaluation (LREC), 2022
Prathamesh Kalamkar
Aman Tiwari
Astha Agarwal
S. Karn
Smita Gupta
Vivek Raghavan
Ashutosh Modi
AILaw
242
60
0
31 Jan 2022
Adversarial Masking for Self-Supervised Learning
Adversarial Masking for Self-Supervised LearningInternational Conference on Machine Learning (ICML), 2022
Yuge Shi
N. Siddharth
Juil Sock
Adam R. Kosiorek
SSL
431
99
0
31 Jan 2022
PLATINUM: Semi-Supervised Model Agnostic Meta-Learning using Submodular
  Mutual Information
PLATINUM: Semi-Supervised Model Agnostic Meta-Learning using Submodular Mutual InformationInternational Conference on Machine Learning (ICML), 2022
Changbin Li
Suraj Kothawade
F. Chen
Rishabh K. Iyer
166
5
0
30 Jan 2022
Improving Robustness by Enhancing Weak Subnets
Improving Robustness by Enhancing Weak SubnetsEuropean Conference on Computer Vision (ECCV), 2022
Yong Guo
David Stutz
Bernt Schiele
AAML
345
17
0
30 Jan 2022
AutoSNN: Towards Energy-Efficient Spiking Neural Networks
AutoSNN: Towards Energy-Efficient Spiking Neural NetworksInternational Conference on Machine Learning (ICML), 2022
Byunggook Na
J. Mok
Seongsik Park
Dongjin Lee
Hyeokjun Choe
Sungroh Yoon
453
79
0
30 Jan 2022
Assessing Cross-dataset Generalization of Pedestrian Crossing Predictors
Assessing Cross-dataset Generalization of Pedestrian Crossing Predictors
Joseph Gesnouin
Steve Pechberti
B. Stanciulescu
Fabien Moutarde
139
15
0
29 Jan 2022
Continual Learning with Recursive Gradient Optimization
Continual Learning with Recursive Gradient OptimizationInternational Conference on Learning Representations (ICLR), 2022
Hao Liu
Huaping Liu
VLMCLL
265
48
0
29 Jan 2022
A Simple Guard for Learned Optimizers
A Simple Guard for Learned OptimizersInternational Conference on Machine Learning (ICML), 2022
Isabeau Prémont-Schwarz
Jaroslav Vítkru
Jan Feyereisl
337
10
0
28 Jan 2022
DELAUNAY: a dataset of abstract art for psychophysical and machine
  learning research
DELAUNAY: a dataset of abstract art for psychophysical and machine learning research
C. Gontier
Jakob Jordan
Mihai A. Petrovici
92
5
0
28 Jan 2022
You Only Cut Once: Boosting Data Augmentation with a Single Cut
You Only Cut Once: Boosting Data Augmentation with a Single CutInternational Conference on Machine Learning (ICML), 2022
Junlin Han
Pengfei Fang
Weihong Li
Jie Hong
M. Armin
Ian Reid
L. Petersson
Hongdong Li
272
35
0
28 Jan 2022
Exploring Object-Aware Attention Guided Frame Association for RGB-D SLAM
Ali Caglayan
Nevrez Imamoglu
Oguzhan Guclu
Ali Osman Serhatoglu
Weimin Wang
Ahmet Burak Can
Ryosuke Nakamura
145
0
0
28 Jan 2022
LAP: An Attention-Based Module for Concept Based Self-Interpretation and
  Knowledge Injection in Convolutional Neural Networks
LAP: An Attention-Based Module for Concept Based Self-Interpretation and Knowledge Injection in Convolutional Neural Networks
Rassa Ghavami Modegh
Ahmadali Salimi
Alireza Dizaji
Hamid R. Rabiee
FAtt
295
0
0
27 Jan 2022
A Survey on Visual Transfer Learning using Knowledge Graphs
A Survey on Visual Transfer Learning using Knowledge Graphs
Sebastian Monka
Lavdim Halilaj
Achim Rettinger
250
26
0
27 Jan 2022
The Effect of Diversity in Meta-Learning
The Effect of Diversity in Meta-LearningAAAI Conference on Artificial Intelligence (AAAI), 2022
Ramnath Kumar
T. Deleu
Yoshua Bengio
282
15
0
27 Jan 2022
SSLGuard: A Watermarking Scheme for Self-supervised Learning Pre-trained
  Encoders
SSLGuard: A Watermarking Scheme for Self-supervised Learning Pre-trained EncodersConference on Computer and Communications Security (CCS), 2022
Tianshuo Cong
Xinlei He
Yang Zhang
367
64
0
27 Jan 2022
Beyond ImageNet Attack: Towards Crafting Adversarial Examples for
  Black-box Domains
Beyond ImageNet Attack: Towards Crafting Adversarial Examples for Black-box DomainsInternational Conference on Learning Representations (ICLR), 2022
Qilong Zhang
Xiaodan Li
YueFeng Chen
Jingkuan Song
Lianli Gao
Yuan He
Hui Xue
AAML
331
80
0
27 Jan 2022
Pan-tumor CAnine cuTaneous Cancer Histology (CATCH) dataset
Pan-tumor CAnine cuTaneous Cancer Histology (CATCH) datasetScientific Data (Sci Data), 2022
Frauke Wilm
Marco Fragoso
Christian Marzahl
Jingna Qiu
C. Puget
...
C. Bertram
R. Klopfleisch
Andreas Maier
Katharina Breininger
Marc Aubreville
MedIm
128
22
0
27 Jan 2022
An Analysis on Ensemble Learning optimized Medical Image Classification
  with Deep Convolutional Neural Networks
An Analysis on Ensemble Learning optimized Medical Image Classification with Deep Convolutional Neural NetworksIEEE Access (IEEE Access), 2022
Dominik Muller
Iñaki Soto Rey
Frank Kramer
198
88
0
27 Jan 2022
Exploring Global Diversity and Local Context for Video Summarization
Exploring Global Diversity and Local Context for Video SummarizationIEEE Access (IEEE Access), 2022
Yingchao Pan
Ouhan Huang
Qinghao Ye
Zhongjin Li
Wen-Jie Wang
Guodun Li
Yuxing Chen
151
10
0
27 Jan 2022
Dissecting the impact of different loss functions with gradient surgery
Dissecting the impact of different loss functions with gradient surgery
Hong Xuan
Robert Pless
121
1
0
27 Jan 2022
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