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Discriminative Unsupervised Feature Learning with Exemplar Convolutional
  Neural Networks
v1v2 (latest)

Discriminative Unsupervised Feature Learning with Exemplar Convolutional Neural Networks

26 June 2014
Alexey Dosovitskiy
Philipp Fischer
Jost Tobias Springenberg
Martin Riedmiller
Thomas Brox
    OODSSL
ArXiv (abs)PDFHTML

Papers citing "Discriminative Unsupervised Feature Learning with Exemplar Convolutional Neural Networks"

50 / 379 papers shown
Title
Self-supervised Learning in Remote Sensing: A Review
Self-supervised Learning in Remote Sensing: A Review
Yi Wang
C. Albrecht
Nassim Ait Ali Braham
Lichao Mou
Xiao Xiang Zhu
156
228
0
27 Jun 2022
TiCo: Transformation Invariance and Covariance Contrast for
  Self-Supervised Visual Representation Learning
TiCo: Transformation Invariance and Covariance Contrast for Self-Supervised Visual Representation Learning
Jiachen Zhu
R. M. Moraes
Serkan Karakulak
Vlad Sobol
A. Canziani
Yann LeCun
SSL
61
22
0
21 Jun 2022
DU-Net based Unsupervised Contrastive Learning for Cancer Segmentation
  in Histology Images
DU-Net based Unsupervised Contrastive Learning for Cancer Segmentation in Histology Images
Yilong Li
Yaqi Wang
Huiyu Zhou
Huaqiong Wang
Gangyong Jia
Qianni Zhang
SSLMedIm
48
1
0
17 Jun 2022
Rethinking Generalization in Few-Shot Classification
Rethinking Generalization in Few-Shot Classification
Markus Hiller
Rongkai Ma
Mehrtash Harandi
Tom Drummond
OCLVLM
112
57
0
15 Jun 2022
ClamNet: Using contrastive learning with variable depth Unets for
  medical image segmentation
ClamNet: Using contrastive learning with variable depth Unets for medical image segmentation
Samayan Bhattacharya
Sk Shahnawaz
Avigyan Bhattacharya
29
1
0
10 Jun 2022
An Empirical Study on Disentanglement of Negative-free Contrastive
  Learning
An Empirical Study on Disentanglement of Negative-free Contrastive Learning
Jinkun Cao
Ruiqian Nai
Qing Yang
Jialei Huang
Yang Gao
CoGeDRL
61
10
0
09 Jun 2022
Beyond Just Vision: A Review on Self-Supervised Representation Learning
  on Multimodal and Temporal Data
Beyond Just Vision: A Review on Self-Supervised Representation Learning on Multimodal and Temporal Data
Shohreh Deldari
Hao Xue
Aaqib Saeed
Jiayuan He
Daniel V. Smith
Flora D. Salim
AI4TS
65
37
0
06 Jun 2022
DeepCluE: Enhanced Image Clustering via Multi-layer Ensembles in Deep
  Neural Networks
DeepCluE: Enhanced Image Clustering via Multi-layer Ensembles in Deep Neural Networks
Dong Huang
Ding Chen
Xiang Chen
Changdong Wang
Jianhuang Lai
66
4
0
01 Jun 2022
A Closer Look at Self-Supervised Lightweight Vision Transformers
A Closer Look at Self-Supervised Lightweight Vision Transformers
Shaoru Wang
Jin Gao
Zeming Li
Jian Sun
Weiming Hu
ViT
148
45
0
28 May 2022
Data Generation for Satellite Image Classification Using Self-Supervised
  Representation Learning
Data Generation for Satellite Image Classification Using Self-Supervised Representation Learning
S. Gulyanon
W. Limprasert
Pokpong Songmuang
R. Kongkachandra
SSL
28
2
0
28 May 2022
Object-wise Masked Autoencoders for Fast Pre-training
Object-wise Masked Autoencoders for Fast Pre-training
Jiantao Wu
Shentong Mo
ViTOCL
75
15
0
28 May 2022
Contrastive Learning Rivals Masked Image Modeling in Fine-tuning via
  Feature Distillation
Contrastive Learning Rivals Masked Image Modeling in Fine-tuning via Feature Distillation
Yixuan Wei
Han Hu
Zhenda Xie
Zheng Zhang
Yue Cao
Jianmin Bao
Dong Chen
B. Guo
CLIP
158
128
0
27 May 2022
Image Harmonization with Region-wise Contrastive Learning
Image Harmonization with Region-wise Contrastive Learning
Jing Liang
Chi-Man Pun
57
4
0
27 May 2022
Combining Contrastive and Supervised Learning for Video Super-Resolution
  Detection
Combining Contrastive and Supervised Learning for Video Super-Resolution Detection
Viacheslav Meshchaninov
Ivan Molodetskikh
D. Vatolin
44
0
0
20 May 2022
Data Augmentation for Compositional Data: Advancing Predictive Models of
  the Microbiome
Data Augmentation for Compositional Data: Advancing Predictive Models of the Microbiome
E. Gordon-Rodríguez
Thomas P. Quinn
John P. Cunningham
93
7
0
20 May 2022
MINI: Mining Implicit Novel Instances for Few-Shot Object Detection
MINI: Mining Implicit Novel Instances for Few-Shot Object Detection
Yuhang Cao
Jiaqi Wang
Yiqi Lin
Dahua Lin
ObjD
85
5
0
06 May 2022
Mapping the landscape of histomorphological cancer phenotypes using
  self-supervised learning on unlabeled, unannotated pathology slides
Mapping the landscape of histomorphological cancer phenotypes using self-supervised learning on unlabeled, unannotated pathology slides
A. Quiros
N. Coudray
A. Yeaton
Xinyu Yang
Bojing Liu
...
H. Pass
A. Moreira
J. L. Quesne
A. Tsirigos
Ke-Fei Yuan
SSL
94
5
0
04 May 2022
Sound Localization by Self-Supervised Time Delay Estimation
Sound Localization by Self-Supervised Time Delay Estimation
Ziyang Chen
David Fouhey
Andrew Owens
SSL
89
19
0
26 Apr 2022
Context-Aware Sequence Alignment using 4D Skeletal Augmentation
Context-Aware Sequence Alignment using 4D Skeletal Augmentation
Taein Kwon
Bugra Tekin
Siyu Tang
Marc Pollefeys
74
14
0
26 Apr 2022
Empirical Evaluation and Theoretical Analysis for Representation
  Learning: A Survey
Empirical Evaluation and Theoretical Analysis for Representation Learning: A Survey
Kento Nozawa
Issei Sato
AI4TS
134
5
0
18 Apr 2022
Sensitivity of sparse codes to image distortions
Sensitivity of sparse codes to image distortions
Kyle L. Luther
H. S. Seung
26
2
0
15 Apr 2022
Masked Siamese Networks for Label-Efficient Learning
Masked Siamese Networks for Label-Efficient Learning
Mahmoud Assran
Mathilde Caron
Ishan Misra
Piotr Bojanowski
Florian Bordes
Pascal Vincent
Armand Joulin
Michael G. Rabbat
Nicolas Ballas
SSL
122
324
0
14 Apr 2022
Robust Cross-Modal Representation Learning with Progressive
  Self-Distillation
Robust Cross-Modal Representation Learning with Progressive Self-Distillation
A. Andonian
Shixing Chen
Raffay Hamid
VLM
99
57
0
10 Apr 2022
Self-Labeling Refinement for Robust Representation Learning with
  Bootstrap Your Own Latent
Self-Labeling Refinement for Robust Representation Learning with Bootstrap Your Own Latent
Siddhant Garg
Dhruval Jain
SSL
131
0
0
09 Apr 2022
Con$^{2}$DA: Simplifying Semi-supervised Domain Adaptation by Learning
  Consistent and Contrastive Feature Representations
Con2^{2}2DA: Simplifying Semi-supervised Domain Adaptation by Learning Consistent and Contrastive Feature Representations
M. Pérez-Carrasco
P. Protopapas
Guillermo Cabrera-Vives
61
7
0
04 Apr 2022
Weakly Supervised Regional and Temporal Learning for Facial Action Unit
  Recognition
Weakly Supervised Regional and Temporal Learning for Facial Action Unit Recognition
Jingwei Yan
Jingjing Wang
Qiang Li
Chunmao Wang
Shiliang Pu
CVBM
22
6
0
01 Apr 2022
Exploring Intra- and Inter-Video Relation for Surgical Semantic Scene
  Segmentation
Exploring Intra- and Inter-Video Relation for Surgical Semantic Scene Segmentation
Yueming Jin
Yang Yu
Cheng Chen
Zixu Zhao
Pheng-Ann Heng
Danail Stoyanov
79
40
0
29 Mar 2022
Iterative, Deep Synthetic Aperture Sonar Image Segmentation
Iterative, Deep Synthetic Aperture Sonar Image Segmentation
Yun Sun
Isaac D. Gerg
V. Monga
33
11
0
28 Mar 2022
AnoViT: Unsupervised Anomaly Detection and Localization with Vision
  Transformer-based Encoder-Decoder
AnoViT: Unsupervised Anomaly Detection and Localization with Vision Transformer-based Encoder-Decoder
Yunseung Lee
Pilsung Kang
ViT
85
77
0
21 Mar 2022
Object discovery and representation networks
Object discovery and representation networks
Olivier J. Hénaff
Skanda Koppula
Evan Shelhamer
Daniel Zoran
Andrew Jaegle
Andrew Zisserman
João Carreira
Relja Arandjelović
106
89
0
16 Mar 2022
X-Learner: Learning Cross Sources and Tasks for Universal Visual
  Representation
X-Learner: Learning Cross Sources and Tasks for Universal Visual Representation
Yinan He
Gengshi Huang
Siyu Chen
Jianing Teng
Wang Kun
Zhen-fei Yin
Lu Sheng
Ziwei Liu
Yu Qiao
Jing Shao
VLMSSLViT
107
7
0
16 Mar 2022
Manifold Modeling in Quotient Space: Learning An Invariant Mapping with
  Decodability of Image Patches
Manifold Modeling in Quotient Space: Learning An Invariant Mapping with Decodability of Image Patches
Tatsuya Yokota
H. Hontani
33
2
0
10 Mar 2022
PACTran: PAC-Bayesian Metrics for Estimating the Transferability of
  Pretrained Models to Classification Tasks
PACTran: PAC-Bayesian Metrics for Estimating the Transferability of Pretrained Models to Classification Tasks
Nan Ding
Xi Chen
Tomer Levinboim
Soravit Changpinyo
Radu Soricut
79
29
0
10 Mar 2022
Understanding Contrastive Learning Requires Incorporating Inductive
  Biases
Understanding Contrastive Learning Requires Incorporating Inductive Biases
Nikunj Saunshi
Jordan T. Ash
Surbhi Goel
Dipendra Kumar Misra
Cyril Zhang
Sanjeev Arora
Sham Kakade
A. Krishnamurthy
SSL
95
113
0
28 Feb 2022
Offline Text-Independent Writer Identification based on word level data
Offline Text-Independent Writer Identification based on word level data
Vineet Kumar
Suresh Sundaram
47
9
0
21 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
126
111
0
16 Feb 2022
COLA: COarse LAbel pre-training for 3D semantic segmentation of sparse
  LiDAR datasets
COLA: COarse LAbel pre-training for 3D semantic segmentation of sparse LiDAR datasets
Jules Sanchez
Jean-Emmanuel Deschaud
Franccois Goulette
3DPC
86
7
0
14 Feb 2022
Point-Level Region Contrast for Object Detection Pre-Training
Point-Level Region Contrast for Object Detection Pre-Training
Yutong Bai
Xinlei Chen
Alexander Kirillov
Alan Yuille
Alexander C. Berg
3DPC
82
51
0
09 Feb 2022
TransformNet: Self-supervised representation learning through predicting
  geometric transformations
TransformNet: Self-supervised representation learning through predicting geometric transformations
S. Hashim
Muhammad Ali
SSL3DPCOOD
11
4
0
08 Feb 2022
Results and findings of the 2021 Image Similarity Challenge
Results and findings of the 2021 Image Similarity Challenge
Zoe Papakipos
Giorgos Tolias
Tomás Jenícek
Ed Pizzi
Shuhei Yokoo
...
Sanjay V. Addicam
S. M. Papadakis
Cristian Canton Ferrer
Ondřej Chum
Matthijs Douze
86
14
0
08 Feb 2022
Context Autoencoder for Self-Supervised Representation Learning
Context Autoencoder for Self-Supervised Representation Learning
Xiaokang Chen
Mingyu Ding
Xiaodi Wang
Ying Xin
Shentong Mo
Yunhao Wang
Shumin Han
Ping Luo
Gang Zeng
Jingdong Wang
SSL
157
400
0
07 Feb 2022
Training Vision Transformers with Only 2040 Images
Training Vision Transformers with Only 2040 Images
Yunhao Cao
Hao Yu
Jianxin Wu
ViT
176
44
0
26 Jan 2022
Self-supervised Learning from 100 Million Medical Images
Self-supervised Learning from 100 Million Medical Images
Florin-Cristian Ghesu
Bogdan Georgescu
Awais Mansoor
Y. Yoo
Dominik Neumann
...
R. Vishwanath
J. Balter
Yue Cao
Sasa Grbic
Dorin Comaniciu
SSL
109
51
0
04 Jan 2022
Continually Learning Self-Supervised Representations with Projected
  Functional Regularization
Continually Learning Self-Supervised Representations with Projected Functional Regularization
Alex Gomez-Villa
Bartlomiej Twardowski
Lu Yu
Andrew D. Bagdanov
Joost van de Weijer
CLLSSL
70
40
0
30 Dec 2021
Barely-Supervised Learning: Semi-Supervised Learning with very few
  labeled images
Barely-Supervised Learning: Semi-Supervised Learning with very few labeled images
Thomas Lucas
Philippe Weinzaepfel
Grégory Rogez
SSL
72
30
0
22 Dec 2021
Are Large-scale Datasets Necessary for Self-Supervised Pre-training?
Are Large-scale Datasets Necessary for Self-Supervised Pre-training?
Alaaeldin El-Nouby
Gautier Izacard
Hugo Touvron
Ivan Laptev
Hervé Jégou
Edouard Grave
SSL
106
152
0
20 Dec 2021
Contrastive Attention Network with Dense Field Estimation for Face
  Completion
Contrastive Attention Network with Dense Field Estimation for Face Completion
Xin Ma
Xiaoqiang Zhou
Huaibo Huang
Gengyun Jia
Z. Chai
Xiaolin K. Wei
3DHCVBM
59
17
0
20 Dec 2021
Local contrastive loss with pseudo-label based self-training for
  semi-supervised medical image segmentation
Local contrastive loss with pseudo-label based self-training for semi-supervised medical image segmentation
K. Chaitanya
Ertunc Erdil
Neerav Karani
E. Konukoglu
SSL
83
132
0
17 Dec 2021
Learning Representations with Contrastive Self-Supervised Learning for
  Histopathology Applications
Learning Representations with Contrastive Self-Supervised Learning for Histopathology Applications
Karin Stacke
Jonas Unger
Claes Lundström
Gabriel Eilertsen
OODSSL
102
25
0
10 Dec 2021
Contextualized Spatio-Temporal Contrastive Learning with
  Self-Supervision
Contextualized Spatio-Temporal Contrastive Learning with Self-Supervision
Liangzhe Yuan
Rui Qian
Huayu Chen
Boqing Gong
Florian Schroff
Ming-Hsuan Yang
Hartwig Adam
Ting Liu
AI4TS
105
16
0
09 Dec 2021
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