ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1409.0575
  4. Cited By
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 / 12,988 papers shown
Title
Use of Transfer Learning and Wavelet Transform for Breast Cancer
  Detection
Use of Transfer Learning and Wavelet Transform for Breast Cancer Detection
Ahmed Rasheed
M. S. Younis
Junaid Qadir
Muhammad Bilal
MedIm
64
10
0
05 Mar 2021
Cycle Self-Training for Domain Adaptation
Cycle Self-Training for Domain AdaptationNeural Information Processing Systems (NeurIPS), 2021
Hong Liu
Jianmin Wang
Mingsheng Long
342
204
0
05 Mar 2021
Transfer Learning-Based Model Protection With Secret Key
Transfer Learning-Based Model Protection With Secret KeyInternational Conference on Information Photonics (ICIP), 2021
Maungmaung Aprilpyone
Hitoshi Kiya
FedML
96
5
0
05 Mar 2021
Measuring Model Biases in the Absence of Ground Truth
Measuring Model Biases in the Absence of Ground TruthAAAI/ACM Conference on AI, Ethics, and Society (AIES), 2021
Osman Aka
Ken Burke
Alex Bauerle
Christina Greer
Margaret Mitchell
191
39
0
05 Mar 2021
Hard-label Manifolds: Unexpected Advantages of Query Efficiency for
  Finding On-manifold Adversarial Examples
Hard-label Manifolds: Unexpected Advantages of Query Efficiency for Finding On-manifold Adversarial Examples
Washington Garcia
Pin-Yu Chen
S. Jha
Scott Clouse
Kevin R. B. Butler
AAML
102
0
0
04 Mar 2021
Contrastive Learning Meets Transfer Learning: A Case Study In Medical
  Image Analysis
Contrastive Learning Meets Transfer Learning: A Case Study In Medical Image Analysis
Yuzhe Lu
Aadarsh Jha
Yuankai Huo
MedIm
172
5
0
04 Mar 2021
Self-supervised deep convolutional neural network for chest X-ray
  classification
Self-supervised deep convolutional neural network for chest X-ray classificationIEEE Access (IEEE Access), 2021
Matej Gazda
J. Gazda
J. Plávka
P. Drotár
SSL
290
62
0
04 Mar 2021
Lost in Pruning: The Effects of Pruning Neural Networks beyond Test
  Accuracy
Lost in Pruning: The Effects of Pruning Neural Networks beyond Test AccuracyConference on Machine Learning and Systems (MLSys), 2021
Lucas Liebenwein
Cenk Baykal
Brandon Carter
David K Gifford
Daniela Rus
AAML
180
81
0
04 Mar 2021
SpectralDefense: Detecting Adversarial Attacks on CNNs in the Fourier
  Domain
SpectralDefense: Detecting Adversarial Attacks on CNNs in the Fourier DomainIEEE International Joint Conference on Neural Network (IJCNN), 2021
P. Harder
Franz-Josef Pfreundt
Margret Keuper
J. Keuper
AAML
275
54
0
04 Mar 2021
QAIR: Practical Query-efficient Black-Box Attacks for Image Retrieval
QAIR: Practical Query-efficient Black-Box Attacks for Image RetrievalComputer Vision and Pattern Recognition (CVPR), 2021
Xiaodan Li
Jinfeng Li
YueFeng Chen
Shaokai Ye
Yuan He
Shuhui Wang
Hang Su
Hui Xue
117
51
0
04 Mar 2021
Coordinate Attention for Efficient Mobile Network Design
Coordinate Attention for Efficient Mobile Network DesignComputer Vision and Pattern Recognition (CVPR), 2021
Qibin Hou
Daquan Zhou
Jiashi Feng
168
4,126
0
04 Mar 2021
Unsupervised Domain Adaptation for Image Classification via
  Structure-Conditioned Adversarial Learning
Unsupervised Domain Adaptation for Image Classification via Structure-Conditioned Adversarial Learning
Haibo Wang
Jian Tian
Songyuan Li
Hanbin Zhao
Qi Tian
Leilei Gan
Xi Li
89
7
0
04 Mar 2021
Deep Clustering by Semantic Contrastive Learning
Deep Clustering by Semantic Contrastive LearningBritish Machine Vision Conference (BMVC), 2021
Jiabo Huang
S. Gong
216
18
0
03 Mar 2021
On the effectiveness of adversarial training against common corruptions
On the effectiveness of adversarial training against common corruptionsConference on Uncertainty in Artificial Intelligence (UAI), 2021
Klim Kireev
Maksym Andriushchenko
Nicolas Flammarion
AAML
283
112
0
03 Mar 2021
Differentiable Neural Architecture Learning for Efficient Neural Network
  Design
Differentiable Neural Architecture Learning for Efficient Neural Network Design
Qingbei Guo
Xiaojun Wu
J. Kittler
Zhiquan Feng
91
2
0
03 Mar 2021
Self-supervised Pretraining of Visual Features in the Wild
Self-supervised Pretraining of Visual Features in the Wild
Priya Goyal
Mathilde Caron
Benjamin Lefaudeux
Min Xu
Pengchao Wang
...
Mannat Singh
Vitaliy Liptchinsky
Ishan Misra
Armand Joulin
Piotr Bojanowski
VLMSSL
265
296
0
02 Mar 2021
MultiSubs: A Large-scale Multimodal and Multilingual Dataset
MultiSubs: A Large-scale Multimodal and Multilingual DatasetInternational Conference on Language Resources and Evaluation (LREC), 2021
Josiah Wang
Pranava Madhyastha
J. Figueiredo
Chiraag Lala
Lucia Specia
VGen
168
13
0
02 Mar 2021
Investigations on Audiovisual Emotion Recognition in Noisy Conditions
Investigations on Audiovisual Emotion Recognition in Noisy ConditionsSpoken Language Technology Workshop (SLT), 2021
Michael Neumann
Ngoc Thang Vu
134
9
0
02 Mar 2021
Audio scene monitoring using redundant ad-hoc microphone array networks
Audio scene monitoring using redundant ad-hoc microphone array networksIEEE Internet of Things Journal (IEEE IoT Journal), 2021
Peter Gerstoft
Yihan Hu
Michael J. Bianco
Chaitanya Patil
Ardel Alegre
Y. Freund
François Grondin
221
13
0
02 Mar 2021
Wasserstein GANs Work Because They Fail (to Approximate the Wasserstein
  Distance)
Wasserstein GANs Work Because They Fail (to Approximate the Wasserstein Distance)
Jan Stanczuk
Christian Etmann
L. Kreusser
Carola-Bibiane Schönlieb
GAN
273
52
0
02 Mar 2021
Learning with Hyperspherical Uniformity
Learning with Hyperspherical UniformityInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2021
Weiyang Liu
Rongmei Lin
Zhen Liu
Li Xiong
Bernhard Schölkopf
Adrian Weller
267
44
0
02 Mar 2021
Deep Learning Based Decision Support for Medicine -- A Case Study on
  Skin Cancer Diagnosis
Deep Learning Based Decision Support for Medicine -- A Case Study on Skin Cancer Diagnosis
Adriano Lucieri
Andreas Dengel
Sheraz Ahmed
185
8
0
02 Mar 2021
A Practical Framework for ROI Detection in Medical Images -- a case
  study for hip detection in anteroposterior pelvic radiographs
A Practical Framework for ROI Detection in Medical Images -- a case study for hip detection in anteroposterior pelvic radiographs
Feng-yu Liu
Chih-Chi Chen
Shann-Ching Chen
Chien-Hung Liao
140
1
0
02 Mar 2021
Few-shot Open-set Recognition by Transformation Consistency
Few-shot Open-set Recognition by Transformation ConsistencyComputer Vision and Pattern Recognition (CVPR), 2021
Minki Jeong
Seokeon Choi
Changick Kim
152
61
0
02 Mar 2021
A Multiclass Boosting Framework for Achieving Fast and Provable
  Adversarial Robustness
A Multiclass Boosting Framework for Achieving Fast and Provable Adversarial Robustness
Jacob D. Abernethy
Pranjal Awasthi
Satyen Kale
AAML
145
6
0
01 Mar 2021
Universal-Prototype Enhancing for Few-Shot Object Detection
Universal-Prototype Enhancing for Few-Shot Object DetectionIEEE International Conference on Computer Vision (ICCV), 2021
Aming Wu
Yahong Han
Linchao Zhu
Yi Yang
ObjD
204
100
0
01 Mar 2021
Adversarial Reciprocal Points Learning for Open Set Recognition
Adversarial Reciprocal Points Learning for Open Set RecognitionIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021
Guangyao Chen
Peixi Peng
Xiangqian Wang
Yonghong Tian
558
377
0
01 Mar 2021
A Little Energy Goes a Long Way: Build an Energy-Efficient, Accurate
  Spiking Neural Network from Convolutional Neural Network
A Little Energy Goes a Long Way: Build an Energy-Efficient, Accurate Spiking Neural Network from Convolutional Neural NetworkFrontiers in Neuroscience (Front. Neurosci.), 2021
Dengyu Wu
Xinping Yi
Xiaowei Huang
236
20
0
01 Mar 2021
Fool Me Once: Robust Selective Segmentation via Out-of-Distribution
  Detection with Contrastive Learning
Fool Me Once: Robust Selective Segmentation via Out-of-Distribution Detection with Contrastive LearningIEEE International Conference on Robotics and Automation (ICRA), 2021
David S. W. Williams
Matthew Gadd
D. Martini
Paul Newman
OODD
119
15
0
01 Mar 2021
Embedded Knowledge Distillation in Depth-Level Dynamic Neural Network
Embedded Knowledge Distillation in Depth-Level Dynamic Neural Network
Qi Zhao
Shuchang Lyu
Zhiwei Zhang
Ting-Bing Xu
Guangliang Cheng
178
3
0
01 Mar 2021
Explaining Adversarial Vulnerability with a Data Sparsity Hypothesis
Explaining Adversarial Vulnerability with a Data Sparsity HypothesisNeurocomputing (Neurocomputing), 2021
Mahsa Paknezhad
Cuong Phuc Ngo
Amadeus Aristo Winarto
Alistair Cheong
Beh Chuen Yang
Wu Jiayang
Lee Hwee Kuan
OODAAML
236
10
0
01 Mar 2021
A Survey on Deep Semi-supervised Learning
A Survey on Deep Semi-supervised LearningIEEE Transactions on Knowledge and Data Engineering (TKDE), 2021
Xiangli Yang
Zixing Song
Irwin King
Zenglin Xu
311
742
0
28 Feb 2021
Moroccan Dialect -Darija- Open Dataset
Moroccan Dialect -Darija- Open Dataset
Aissam Outchakoucht
Hamza Es-Samaali
36
11
0
28 Feb 2021
Tiny Adversarial Mulit-Objective Oneshot Neural Architecture Search
Tiny Adversarial Mulit-Objective Oneshot Neural Architecture SearchComplex & Intelligent Systems (CIS), 2021
Guoyang Xie
Jinbao Wang
Guo-Ding Yu
Feng Zheng
Yaochu Jin
AAML
130
6
0
28 Feb 2021
Exposing Semantic Segmentation Failures via Maximum Discrepancy
  Competition
Exposing Semantic Segmentation Failures via Maximum Discrepancy CompetitionInternational Journal of Computer Vision (IJCV), 2021
Jiebin Yan
Yu Zhong
Yuming Fang
Zinan Lin
Kede Ma
UQCV
185
18
0
27 Feb 2021
GRAD-MATCH: Gradient Matching based Data Subset Selection for Efficient
  Deep Model Training
GRAD-MATCH: Gradient Matching based Data Subset Selection for Efficient Deep Model TrainingInternational Conference on Machine Learning (ICML), 2021
Krishnateja Killamsetty
D. Sivasubramanian
Ganesh Ramakrishnan
A. De
Rishabh K. Iyer
OOD
1.2K
259
0
27 Feb 2021
Transformer in Transformer
Transformer in TransformerNeural Information Processing Systems (NeurIPS), 2021
Kai Han
An Xiao
Enhua Wu
Jianyuan Guo
Chunjing Xu
Yunhe Wang
ViT
898
1,943
0
27 Feb 2021
PURSUhInT: In Search of Informative Hint Points Based on Layer
  Clustering for Knowledge Distillation
PURSUhInT: In Search of Informative Hint Points Based on Layer Clustering for Knowledge DistillationExpert systems with applications (ESWA), 2021
Reyhan Kevser Keser
Aydin Ayanzadeh
O. A. Aghdam
Çaglar Kilcioglu
B. U. Toreyin
N. K. Üre
306
7
0
26 Feb 2021
What Doesn't Kill You Makes You Robust(er): How to Adversarially Train
  against Data Poisoning
What Doesn't Kill You Makes You Robust(er): How to Adversarially Train against Data Poisoning
Jonas Geiping
Liam H. Fowl
Gowthami Somepalli
Micah Goldblum
Michael Moeller
Tom Goldstein
TDIAAMLSILM
162
46
0
26 Feb 2021
Experiments with Rich Regime Training for Deep Learning
Experiments with Rich Regime Training for Deep Learning
Xinyan Li
A. Banerjee
141
2
0
26 Feb 2021
Genetic Algorithm based hyper-parameters optimization for transfer
  Convolutional Neural Network
Genetic Algorithm based hyper-parameters optimization for transfer Convolutional Neural Network
Chen Li
Jinzhe Jiang
Yaqian Zhao
Rengang Li
Endong Wang
Xin Zhang
Kun Zhao
74
19
0
26 Feb 2021
Rip van Winkle's Razor: A Simple Estimate of Overfit to Test Data
Rip van Winkle's Razor: A Simple Estimate of Overfit to Test Data
Sanjeev Arora
Yi Zhang
MLAU
138
10
0
25 Feb 2021
Blocks World Revisited: The Effect of Self-Occlusion on Classification
  by Convolutional Neural Networks
Blocks World Revisited: The Effect of Self-Occlusion on Classification by Convolutional Neural Networks
M. Solbach
John K. Tsotsos
97
4
0
25 Feb 2021
Do Input Gradients Highlight Discriminative Features?
Do Input Gradients Highlight Discriminative Features?Neural Information Processing Systems (NeurIPS), 2021
Harshay Shah
Prateek Jain
Praneeth Netrapalli
AAMLFAtt
296
65
0
25 Feb 2021
Directional Bias Amplification
Directional Bias AmplificationInternational Conference on Machine Learning (ICML), 2021
Angelina Wang
Olga Russakovsky
207
78
0
24 Feb 2021
Set-valued classification -- overview via a unified framework
Set-valued classification -- overview via a unified framework
Evgenii Chzhen
Christophe Denis
Mohamed Hebiri
Titouan Lorieul
271
37
0
24 Feb 2021
DeepCervix: A Deep Learning-based Framework for the Classification of
  Cervical Cells Using Hybrid Deep Feature Fusion Techniques
DeepCervix: A Deep Learning-based Framework for the Classification of Cervical Cells Using Hybrid Deep Feature Fusion Techniques
M. Rahaman
Chen Li
Yudong Yao
Frank Kulwa
Xiangchen Wu
Xirong Li
Qian Wang
179
233
0
24 Feb 2021
Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction
  without Convolutions
Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction without ConvolutionsIEEE International Conference on Computer Vision (ICCV), 2021
Wenhai Wang
Enze Xie
Xiang Li
Deng-Ping Fan
Kaitao Song
Ding Liang
Tong Lu
Ping Luo
Ling Shao
ViT
830
4,374
0
24 Feb 2021
STEP: Segmenting and Tracking Every Pixel
STEP: Segmenting and Tracking Every Pixel
Mark Weber
Jun Xie
Maxwell D. Collins
Yukun Zhu
P. Voigtlaender
...
Bastian Leibe
Zorah Lähner
Aljosa Osep
Laura Leal-Taixé
Liang-Chieh Chen
VOS
196
81
0
23 Feb 2021
Meta-Learned Attribute Self-Gating for Continual Generalized Zero-Shot
  Learning
Meta-Learned Attribute Self-Gating for Continual Generalized Zero-Shot Learning
Vinay Kumar Verma
Kevin J. Liang
Nikhil Mehta
Lawrence Carin
CLLVLM
135
7
0
23 Feb 2021
Previous
123...136137138...258259260
Next