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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
General Facial Representation Learning in a Visual-Linguistic Manner
General Facial Representation Learning in a Visual-Linguistic Manner
Yinglin Zheng
Hao Yang
Ting Zhang
Jianmin Bao
Dongdong Chen
Yangyu Huang
Lu Yuan
Dong Chen
Ming Zeng
Fang Wen
CVBM
203
175
0
06 Dec 2021
Joint Learning of Localized Representations from Medical Images and
  Reports
Joint Learning of Localized Representations from Medical Images and Reports
Philipp Muller
Georgios Kaissis
Cong Zou
Daniel Munich
204
86
0
06 Dec 2021
Self-supervised Video Transformer
Self-supervised Video Transformer
Kanchana Ranasinghe
Muzammal Naseer
Salman Khan
Fahad Shahbaz Khan
Michael S. Ryoo
ViT
130
88
0
02 Dec 2021
Extract Free Dense Labels from CLIP
Extract Free Dense Labels from CLIP
Chong Zhou
Chen Change Loy
Bo Dai
VLMCLIP
186
482
0
02 Dec 2021
GANORCON: Are Generative Models Useful for Few-shot Segmentation?
GANORCON: Are Generative Models Useful for Few-shot Segmentation?
Oindrila Saha
Zezhou Cheng
Subhransu Maji
91
17
0
01 Dec 2021
PreViTS: Contrastive Pretraining with Video Tracking Supervision
PreViTS: Contrastive Pretraining with Video Tracking Supervision
Brian Chen
Ramprasaath R. Selvaraju
Shih-Fu Chang
Juan Carlos Niebles
Nikhil Naik
ViT
64
2
0
01 Dec 2021
Affect-DML: Context-Aware One-Shot Recognition of Human Affect using
  Deep Metric Learning
Affect-DML: Context-Aware One-Shot Recognition of Human Affect using Deep Metric Learning
Kunyu Peng
Alina Roitberg
David Schneider
Marios Koulakis
Kailun Yang
Rainer Stiefelhagen
CVBM
72
3
0
30 Nov 2021
PeCo: Perceptual Codebook for BERT Pre-training of Vision Transformers
PeCo: Perceptual Codebook for BERT Pre-training of Vision Transformers
Xiaoyi Dong
Jianmin Bao
Ting Zhang
Dongdong Chen
Weiming Zhang
Lu Yuan
Dong Chen
Fang Wen
Nenghai Yu
Baining Guo
ViT
148
245
0
24 Nov 2021
SimMIM: A Simple Framework for Masked Image Modeling
SimMIM: A Simple Framework for Masked Image Modeling
Zhenda Xie
Zheng Zhang
Yue Cao
Yutong Lin
Jianmin Bao
Zhuliang Yao
Qi Dai
Han Hu
231
1,368
0
18 Nov 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
55
168
0
25 Oct 2021
Constrained Mean Shift for Representation Learning
Constrained Mean Shift for Representation Learning
Ajinkya Tejankar
Soroush Abbasi Koohpayegani
Hamed Pirsiavash
SSL
49
0
0
19 Oct 2021
Digging Into Self-Supervised Learning of Feature Descriptors
Digging Into Self-Supervised Learning of Feature Descriptors
Iaroslav Melekhov
Zakaria Laskar
Xiaotian Li
Shuzhe Wang
Arno Solin
SSL
90
8
0
10 Oct 2021
The Power of Contrast for Feature Learning: A Theoretical Analysis
The Power of Contrast for Feature Learning: A Theoretical Analysis
Wenlong Ji
Zhun Deng
Ryumei Nakada
James Zou
Linjun Zhang
SSL
130
53
0
06 Oct 2021
Implicit and Explicit Attention for Zero-Shot Learning
Implicit and Explicit Attention for Zero-Shot Learning
Faisal Alamri
Anjan Dutta
133
7
0
02 Oct 2021
Cluster Analysis with Deep Embeddings and Contrastive Learning
Cluster Analysis with Deep Embeddings and Contrastive Learning
Ramakrishnan Sundareswaran
Jansel Herrera-Gerena
John Just
Ali Janessari
SSLDRL
61
4
0
26 Sep 2021
Multi-source Few-shot Domain Adaptation
Multi-source Few-shot Domain Adaptation
Xiangyu Yue
Zangwei Zheng
Colorado Reed
Hari Prasanna Das
Kurt Keutzer
Alberto L. Sangiovanni-Vincentelli
102
12
0
25 Sep 2021
CONTaiNER: Few-Shot Named Entity Recognition via Contrastive Learning
CONTaiNER: Few-Shot Named Entity Recognition via Contrastive Learning
Sarkar Snigdha Sarathi Das
Arzoo Katiyar
R. Passonneau
Rui Zhang
83
147
0
15 Sep 2021
DRo: A data-scarce mechanism to revolutionize the performance of Deep
  Learning based Security Systems
DRo: A data-scarce mechanism to revolutionize the performance of Deep Learning based Security Systems
Mohit Sewak
S. K. Sahay
Hemant Rathore
71
5
0
12 Sep 2021
LibFewShot: A Comprehensive Library for Few-shot Learning
LibFewShot: A Comprehensive Library for Few-shot Learning
Wenbin Li
Ziyi
Ziyi Wang
Xuesong Yang
C. Dong
...
Jing Huo
Yinghuan Shi
Lei Wang
Yang Gao
Jiebo Luo
VLM
179
69
0
10 Sep 2021
Unsupervised Local Discrimination for Medical Images
Unsupervised Local Discrimination for Medical Images
Huai Chen
Renzhen Wang
Xiuying Wang
Jieyu Li
Qu Fang
Hui Li
Jianhao Bai
Qing Peng
Deyu Meng
Lisheng Wang
SSL
47
7
0
21 Aug 2021
Self-supervised Contrastive Learning of Multi-view Facial Expressions
Self-supervised Contrastive Learning of Multi-view Facial Expressions
Shuvendu Roy
Ali Etemad
86
38
0
15 Aug 2021
Focus on the Positives: Self-Supervised Learning for Biodiversity
  Monitoring
Focus on the Positives: Self-Supervised Learning for Biodiversity Monitoring
Omiros Pantazis
Gabriel J. Brostow
Kate E. Jones
Oisin Mac Aodha
SSL
61
30
0
14 Aug 2021
Trash to Treasure: Harvesting OOD Data with Cross-Modal Matching for
  Open-Set Semi-Supervised Learning
Trash to Treasure: Harvesting OOD Data with Cross-Modal Matching for Open-Set Semi-Supervised Learning
Junkai Huang
Chaowei Fang
Weikai Chen
Z. Chai
Xiaolin K. Wei
Pengxu Wei
Liang Lin
Guanbin Li
OODD
83
66
0
12 Aug 2021
Spatiotemporal Contrastive Learning of Facial Expressions in Videos
Spatiotemporal Contrastive Learning of Facial Expressions in Videos
Shuvendu Roy
Ali Etemad
108
17
0
06 Aug 2021
Generic Neural Architecture Search via Regression
Generic Neural Architecture Search via Regression
Yuhong Li
Cong Hao
Pan Li
Jinjun Xiong
Deming Chen
116
30
0
04 Aug 2021
Self-Supervised Regional and Temporal Auxiliary Tasks for Facial Action
  Unit Recognition
Self-Supervised Regional and Temporal Auxiliary Tasks for Facial Action Unit Recognition
Jingwei Yan
Jingjing Wang
Qiang Li
Chunmao Wang
Shiliang Pu
ViTCVBM
15
10
0
30 Jul 2021
Self-Paced Contrastive Learning for Semi-supervised Medical Image
  Segmentation with Meta-labels
Self-Paced Contrastive Learning for Semi-supervised Medical Image Segmentation with Meta-labels
Jizong Peng
Ping Wang
Chrisitian Desrosiers
M. Pedersoli
SSL
89
65
0
29 Jul 2021
The Impact of Negative Sampling on Contrastive Structured World Models
The Impact of Negative Sampling on Contrastive Structured World Models
Ondrej Biza
Elise van der Pol
Thomas Kipf
DRLOffRL
60
2
0
24 Jul 2021
Clustering by Maximizing Mutual Information Across Views
Clustering by Maximizing Mutual Information Across Views
Kien Do
T. Tran
Svetha Venkatesh
VLMSSL
53
37
0
24 Jul 2021
Trip-ROMA: Self-Supervised Learning with Triplets and Random Mappings
Trip-ROMA: Self-Supervised Learning with Triplets and Random Mappings
Wenbin Li
Xuesong Yang
Meihao Kong
Lei Wang
Jing Huo
Yang Gao
Jiebo Luo
52
0
0
22 Jul 2021
Towards Unsupervised Domain Generalization
Towards Unsupervised Domain Generalization
Xingxuan Zhang
Linjun Zhou
Renzhe Xu
Peng Cui
Zheyan Shen
Haoxin Liu
OODAI4CE
95
51
0
13 Jul 2021
Magnification-independent Histopathological Image Classification with Similarity-based Multi-scale Embeddings
Yibao Sun
Xingru Huang
Yaqi Wang
Huiyu Zhou
Qianni Zhang
50
4
0
02 Jul 2021
Fair Visual Recognition in Limited Data Regime using Self-Supervision
  and Self-Distillation
Fair Visual Recognition in Limited Data Regime using Self-Supervision and Self-Distillation
Pratik Mazumder
Pravendra Singh
Vinay P. Namboodiri
SSL
43
2
0
30 Jun 2021
Zoo-Tuning: Adaptive Transfer from a Zoo of Models
Zoo-Tuning: Adaptive Transfer from a Zoo of Models
Yang Shu
Zhi Kou
Zhangjie Cao
Jianmin Wang
Mingsheng Long
69
44
0
29 Jun 2021
A CNN Segmentation-Based Approach to Object Detection and Tracking in
  Ultrasound Scans with Application to the Vagus Nerve Detection
A CNN Segmentation-Based Approach to Object Detection and Tracking in Ultrasound Scans with Application to the Vagus Nerve Detection
Abdullah F. Al-Battal
Yan Gong
Lu Xu
T. Morton
Chen Du
Yifeng Bu
I. Lerman
R. Madhavan
Truong Thao Nguyen
21
9
0
25 Jun 2021
SRPN: similarity-based region proposal networks for nuclei and cells
  detection in histology images
SRPN: similarity-based region proposal networks for nuclei and cells detection in histology images
Yibao Sun
Xingru Huang
Huiyu Zhou
Qianni Zhang
73
33
0
25 Jun 2021
SODA10M: A Large-Scale 2D Self/Semi-Supervised Object Detection Dataset
  for Autonomous Driving
SODA10M: A Large-Scale 2D Self/Semi-Supervised Object Detection Dataset for Autonomous Driving
Jianhua Han
Xiwen Liang
Hang Xu
Kai Chen
Lanqing Hong
...
Chao Ye
Wei Zhang
Zhenguo Li
Xi Liang
Chunjing Xu
61
79
0
21 Jun 2021
Cross-Modal Attention Consistency for Video-Audio Unsupervised Learning
Cross-Modal Attention Consistency for Video-Audio Unsupervised Learning
Shaobo Min
Qi Dai
Hongtao Xie
Chuang Gan
Yongdong Zhang
Jingdong Wang
SSL
51
7
0
13 Jun 2021
Multi-Dataset Benchmarks for Masked Identification using Contrastive
  Representation Learning
Multi-Dataset Benchmarks for Masked Identification using Contrastive Representation Learning
Sachith Seneviratne
Nuran Kasthuriaarachchi
Sanka Rasnayaka
CVBM
65
6
0
10 Jun 2021
Progressive Stage-wise Learning for Unsupervised Feature Representation
  Enhancement
Progressive Stage-wise Learning for Unsupervised Feature Representation Enhancement
Zefan Li
Chenxi Liu
Alan Yuille
Bingbing Ni
Wenjun Zhang
Wen Gao
SSL
66
5
0
10 Jun 2021
Shifting Transformation Learning for Out-of-Distribution Detection
Shifting Transformation Learning for Out-of-Distribution Detection
Sina Mohseni
Arash Vahdat
J. Yadawa
OODD
58
9
0
07 Jun 2021
Large-scale Unsupervised Semantic Segmentation
Large-scale Unsupervised Semantic Segmentation
Shangqi Gao
Zhong-Yu Li
Ming-Hsuan Yang
Mingg-Ming Cheng
Junwei Han
Philip Torr
UQCV
119
90
0
06 Jun 2021
MoCL: Data-driven Molecular Fingerprint via Knowledge-aware Contrastive
  Learning from Molecular Graph
MoCL: Data-driven Molecular Fingerprint via Knowledge-aware Contrastive Learning from Molecular Graph
Mengying Sun
Jing Xing
Huijun Wang
Bin Chen
Jiayu Zhou
156
120
0
05 Jun 2021
About Explicit Variance Minimization: Training Neural Networks for
  Medical Imaging With Limited Data Annotations
About Explicit Variance Minimization: Training Neural Networks for Medical Imaging With Limited Data Annotations
Dmitrii Shubin
Danny Eytan
Sebastian D. Goodfellow
48
1
0
28 May 2021
Divide and Contrast: Self-supervised Learning from Uncurated Data
Divide and Contrast: Self-supervised Learning from Uncurated Data
Yonglong Tian
Olivier J. Hénaff
Aaron van den Oord
SSL
138
101
0
17 May 2021
Mean Shift for Self-Supervised Learning
Mean Shift for Self-Supervised Learning
Soroush Abbasi Koohpayegani
Ajinkya Tejankar
Hamed Pirsiavash
SSL
63
93
0
15 May 2021
ResMLP: Feedforward networks for image classification with
  data-efficient training
ResMLP: Feedforward networks for image classification with data-efficient training
Hugo Touvron
Piotr Bojanowski
Mathilde Caron
Matthieu Cord
Alaaeldin El-Nouby
...
Gautier Izacard
Armand Joulin
Gabriel Synnaeve
Jakob Verbeek
Hervé Jégou
VLM
82
671
0
07 May 2021
With a Little Help from My Friends: Nearest-Neighbor Contrastive
  Learning of Visual Representations
With a Little Help from My Friends: Nearest-Neighbor Contrastive Learning of Visual Representations
Debidatta Dwibedi
Y. Aytar
Jonathan Tompson
P. Sermanet
Andrew Zisserman
SSL
265
467
0
29 Apr 2021
Medical Transformer: Universal Brain Encoder for 3D MRI Analysis
Medical Transformer: Universal Brain Encoder for 3D MRI Analysis
E. Jun
Seungwoo Jeong
Da-Woon Heo
Heung-Il Suk
ViTMedIm
86
43
0
28 Apr 2021
Shot Contrastive Self-Supervised Learning for Scene Boundary Detection
Shot Contrastive Self-Supervised Learning for Scene Boundary Detection
Shixing Chen
Xiaohan Nie
David D. Fan
Dongqing Zhang
Vimal Bhat
Raffay Hamid
SSL
77
62
0
28 Apr 2021
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