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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
Domain Adaptation for Semantic Segmentation via Patch-Wise Contrastive
  Learning
Domain Adaptation for Semantic Segmentation via Patch-Wise Contrastive Learning
Weizhe Liu
David Ferstl
S. Schulter
L. Zebedin
Pascal Fua
C. Leistner
164
38
0
22 Apr 2021
SimCSE: Simple Contrastive Learning of Sentence Embeddings
SimCSE: Simple Contrastive Learning of Sentence Embeddings
Tianyu Gao
Xingcheng Yao
Danqi Chen
AILawSSL
297
3,438
0
18 Apr 2021
Solving Inefficiency of Self-supervised Representation Learning
Solving Inefficiency of Self-supervised Representation Learning
Guangrun Wang
Keze Wang
Guangcong Wang
Philip Torr
Liang Lin
SSL
76
58
0
18 Apr 2021
Pareto Self-Supervised Training for Few-Shot Learning
Pareto Self-Supervised Training for Few-Shot Learning
Zhengyu Chen
Jixie Ge
Heshen Zhan
Siteng Huang
Donglin Wang
88
119
0
16 Apr 2021
Can Differential Privacy Practically Protect Collaborative Deep Learning
  Inference for the Internet of Things?
Can Differential Privacy Practically Protect Collaborative Deep Learning Inference for the Internet of Things?
Jihyeon Ryu
Yifeng Zheng
Yansong Gao
A. Abuadbba
Junyaup Kim
Dongho Won
Surya Nepal
Hyoungshick Kim
Cong Wang
36
13
0
08 Apr 2021
SiT: Self-supervised vIsion Transformer
SiT: Self-supervised vIsion Transformer
Sara Atito Ali Ahmed
Muhammad Awais
J. Kittler
ViT
107
139
0
08 Apr 2021
Weakly supervised segmentation with cross-modality equivariant
  constraints
Weakly supervised segmentation with cross-modality equivariant constraints
Gaurav Patel
Jose Dolz
SSL
90
49
0
06 Apr 2021
Unsupervised Degradation Representation Learning for Blind
  Super-Resolution
Unsupervised Degradation Representation Learning for Blind Super-Resolution
Longguang Wang
Yingqian Wang
Xiaoyu Dong
Qingyu Xu
Jungang Yang
W. An
Yulan Guo
73
320
0
01 Apr 2021
Jigsaw Clustering for Unsupervised Visual Representation Learning
Jigsaw Clustering for Unsupervised Visual Representation Learning
Pengguang Chen
Shu Liu
Jiaya Jia
SSLVLM
85
55
0
01 Apr 2021
Prototypical Cross-domain Self-supervised Learning for Few-shot
  Unsupervised Domain Adaptation
Prototypical Cross-domain Self-supervised Learning for Few-shot Unsupervised Domain Adaptation
Xiangyu Yue
Zangwei Zheng
Shanghang Zhang
Yang Gao
Trevor Darrell
Kurt Keutzer
Alberto L. Sangiovanni-Vincentelli
106
152
0
31 Mar 2021
Denoise and Contrast for Category Agnostic Shape Completion
Denoise and Contrast for Category Agnostic Shape Completion
A. Alliegro
D. Valsesia
Giulia Fracastoro
E. Magli
Tatiana Tommasi
3DPC
126
34
0
30 Mar 2021
Broaden Your Views for Self-Supervised Video Learning
Broaden Your Views for Self-Supervised Video Learning
Adrià Recasens
Pauline Luc
Jean-Baptiste Alayrac
Luyu Wang
Ross Hemsley
...
Florent Altché
M. Valko
Jean-Bastien Grill
Aaron van den Oord
Andrew Zisserman
SSLAI4TS
131
128
0
30 Mar 2021
Is Image-to-Image Translation the Panacea for Multimodal Image
  Registration? A Comparative Study
Is Image-to-Image Translation the Panacea for Multimodal Image Registration? A Comparative Study
Jiahao Lu
Johan Öfverstedt
Joakim Lindblad
Natavsa Sladoje
MedIm
97
22
0
30 Mar 2021
6-DoF Contrastive Grasp Proposal Network
6-DoF Contrastive Grasp Proposal Network
Xinghao Zhu
Lingfeng Sun
Yongxiang Fan
Masayoshi Tomizuka
77
27
0
29 Mar 2021
Robust Audio-Visual Instance Discrimination
Robust Audio-Visual Instance Discrimination
Pedro Morgado
Ishan Misra
Nuno Vasconcelos
SSL
112
110
0
29 Mar 2021
Self-Supervised Training Enhances Online Continual Learning
Self-Supervised Training Enhances Online Continual Learning
Jhair Gallardo
Tyler L. Hayes
Christopher Kanan
CLL
101
68
0
25 Mar 2021
Supporting Clustering with Contrastive Learning
Supporting Clustering with Contrastive Learning
Dejiao Zhang
Feng Nan
Xiaokai Wei
Shang-Wen Li
Henghui Zhu
Kathleen McKeown
Ramesh Nallapati
Andrew O. Arnold
Bing Xiang
SSL
106
202
0
24 Mar 2021
Region Similarity Representation Learning
Region Similarity Representation Learning
Tete Xiao
Colorado Reed
Xiaolong Wang
Kurt Keutzer
Trevor Darrell
VLMSSL
101
118
0
24 Mar 2021
Characterizing and Improving the Robustness of Self-Supervised Learning
  through Background Augmentations
Characterizing and Improving the Robustness of Self-Supervised Learning through Background Augmentations
Chaitanya K. Ryali
D. Schwab
Ari S. Morcos
SSL
85
9
0
23 Mar 2021
Efficient Visual Pretraining with Contrastive Detection
Efficient Visual Pretraining with Contrastive Detection
Olivier J. Hénaff
Skanda Koppula
Jean-Baptiste Alayrac
Aaron van den Oord
Oriol Vinyals
João Carreira
VLMSSL
74
166
0
19 Mar 2021
For Manifold Learning, Deep Neural Networks can be Locality Sensitive
  Hash Functions
For Manifold Learning, Deep Neural Networks can be Locality Sensitive Hash Functions
Nishanth Dikkala
Gal Kaplun
Rina Panigrahy
48
7
0
11 Mar 2021
Repurposing GANs for One-shot Semantic Part Segmentation
Repurposing GANs for One-shot Semantic Part Segmentation
Nontawat Tritrong
Pitchaporn Rewatbowornwong
Supasorn Suwajanakorn
111
109
0
07 Mar 2021
Self-supervised Auxiliary Learning for Graph Neural Networks via
  Meta-Learning
Self-supervised Auxiliary Learning for Graph Neural Networks via Meta-Learning
Dasol Hwang
Jinyoung Park
Sunyoung Kwon
KyungHyun Kim
Jung-Woo Ha
Hyunwoo J. Kim
OODSSL
69
8
0
01 Mar 2021
A Survey on Deep Semi-supervised Learning
A Survey on Deep Semi-supervised Learning
Xiangli Yang
Zixing Song
Irwin King
Zenglin Xu
110
593
0
28 Feb 2021
Understanding Negative Samples in Instance Discriminative
  Self-supervised Representation Learning
Understanding Negative Samples in Instance Discriminative Self-supervised Representation Learning
Kento Nozawa
Issei Sato
SSL
132
46
0
13 Feb 2021
DetCo: Unsupervised Contrastive Learning for Object Detection
DetCo: Unsupervised Contrastive Learning for Object Detection
Enze Xie
Jian Ding
Wenhai Wang
Xiaohang Zhan
Hang Xu
Peize Sun
Zhenguo Li
Ping Luo
82
324
0
09 Feb 2021
Semi-Supervised Action Recognition with Temporal Contrastive Learning
Semi-Supervised Action Recognition with Temporal Contrastive Learning
Ankit Singh
Omprakash Chakraborty
Ashutosh Varshney
Yikang Shen
Rogerio Feris
Kate Saenko
Abir Das
82
99
0
04 Feb 2021
Exploring Cross-Image Pixel Contrast for Semantic Segmentation
Exploring Cross-Image Pixel Contrast for Semantic Segmentation
Wenguan Wang
Tianfei Zhou
Feng Yu
Jifeng Dai
E. Konukoglu
Luc Van Gool
198
483
0
28 Jan 2021
Online Adversarial Purification based on Self-Supervision
Online Adversarial Purification based on Self-Supervision
Changhao Shi
Chester Holtz
Zhengchao Wan
AAML
74
57
0
23 Jan 2021
Momentum^2 Teacher: Momentum Teacher with Momentum Statistics for
  Self-Supervised Learning
Momentum^2 Teacher: Momentum Teacher with Momentum Statistics for Self-Supervised Learning
Zeming Li
Songtao Liu
Jian Sun
110
16
0
19 Jan 2021
Millimeter Wave Sensing: A Review of Application Pipelines and Building
  Blocks
Millimeter Wave Sensing: A Review of Application Pipelines and Building Blocks
Bram van Berlo
Amany Elkelany
T. Ozcelebi
N. Meratnia
33
45
0
26 Dec 2020
OBoW: Online Bag-of-Visual-Words Generation for Self-Supervised Learning
OBoW: Online Bag-of-Visual-Words Generation for Self-Supervised Learning
Spyros Gidaris
Andrei Bursuc
Gilles Puy
N. Komodakis
Matthieu Cord
P. Pérez
SSL
98
71
0
21 Dec 2020
Contrastive Learning for Label-Efficient Semantic Segmentation
Contrastive Learning for Label-Efficient Semantic Segmentation
Xiangyu Zhao
Raviteja Vemulapalli
Philip Mansfield
Boqing Gong
Bradley Green
Lior Shapira
Ying Nian Wu
SSLSSeg
179
177
0
13 Dec 2020
The Lottery Tickets Hypothesis for Supervised and Self-supervised
  Pre-training in Computer Vision Models
The Lottery Tickets Hypothesis for Supervised and Self-supervised Pre-training in Computer Vision Models
Tianlong Chen
Jonathan Frankle
Shiyu Chang
Sijia Liu
Yang Zhang
Michael Carbin
Zhangyang Wang
95
123
0
12 Dec 2020
Practical No-box Adversarial Attacks against DNNs
Practical No-box Adversarial Attacks against DNNs
Qizhang Li
Yiwen Guo
Hao Chen
AAML
75
59
0
04 Dec 2020
About contrastive unsupervised representation learning for
  classification and its convergence
About contrastive unsupervised representation learning for classification and its convergence
Ibrahim Merad
Yiyang Yu
Emmanuel Bacry
Stéphane Gaïffas
SSL
60
1
0
02 Dec 2020
Towards Good Practices in Self-supervised Representation Learning
Towards Good Practices in Self-supervised Representation Learning
Srikar Appalaraju
Yi Zhu
Yusheng Xie
István Fehérvári
SSL
69
21
0
01 Dec 2020
Self supervised contrastive learning for digital histopathology
Self supervised contrastive learning for digital histopathology
Ozan Ciga
Tony Xu
Anne L. Martel
SSL
165
318
0
27 Nov 2020
Ranking Neural Checkpoints
Ranking Neural Checkpoints
Yandong Li
Xuhui Jia
Ruoxin Sang
Yukun Zhu
Bradley Green
Liqiang Wang
Boqing Gong
FedMLELMUQCV
109
49
0
23 Nov 2020
Learning Object-Centric Video Models by Contrasting Sets
Learning Object-Centric Video Models by Contrasting Sets
Sindy Löwe
Klaus Greff
Rico Jonschkowski
Alexey Dosovitskiy
Thomas Kipf
SSLOCL
72
24
0
20 Nov 2020
Hybrid Consistency Training with Prototype Adaptation for Few-Shot
  Learning
Hybrid Consistency Training with Prototype Adaptation for Few-Shot Learning
Meng Ye
Xiaoyu Lin
Giedrius Burachas
Ajay Divakaran
Yi Yao
110
3
0
19 Nov 2020
Propagate Yourself: Exploring Pixel-Level Consistency for Unsupervised
  Visual Representation Learning
Propagate Yourself: Exploring Pixel-Level Consistency for Unsupervised Visual Representation Learning
Zhenda Xie
Yutong Lin
Zheng Zhang
Yue Cao
Stephen Lin
Han Hu
SSL
120
415
0
19 Nov 2020
Heterogeneous Contrastive Learning: Encoding Spatial Information for
  Compact Visual Representations
Heterogeneous Contrastive Learning: Encoding Spatial Information for Compact Visual Representations
Xinyue Huo
Lingxi Xie
Longhui Wei
Xiaopeng Zhang
Hao Li
Zijie Yang
Wen-gang Zhou
Houqiang Li
Qi Tian
SSL
66
13
0
19 Nov 2020
Self-supervised Document Clustering Based on BERT with Data Augment
Self-supervised Document Clustering Based on BERT with Data Augment
Haoxiang Shi
Cen Wang
SSL
50
8
0
17 Nov 2020
Image Clustering using an Augmented Generative Adversarial Network and
  Information Maximization
Image Clustering using an Augmented Generative Adversarial Network and Information Maximization
Foivos Ntelemis
Yaochu Jin
S. Thomas
GAN
73
13
0
08 Nov 2020
Intriguing Properties of Contrastive Losses
Intriguing Properties of Contrastive Losses
Ting Chen
Calvin Luo
Lala Li
81
177
0
05 Nov 2020
Patch2Self: Denoising Diffusion MRI with Self-Supervised Learning
Patch2Self: Denoising Diffusion MRI with Self-Supervised Learning
S. Fadnavis
Joshua D. Batson
Eleftherios Garyfallidis
DiffM
85
105
0
02 Nov 2020
Teaching a GAN What Not to Learn
Teaching a GAN What Not to Learn
Siddarth Asokan
C. Seelamantula
GAN
67
19
0
29 Oct 2020
CompRess: Self-Supervised Learning by Compressing Representations
CompRess: Self-Supervised Learning by Compressing Representations
Soroush Abbasi Koohpayegani
Ajinkya Tejankar
Hamed Pirsiavash
SSL
82
92
0
28 Oct 2020
Robust Pre-Training by Adversarial Contrastive Learning
Robust Pre-Training by Adversarial Contrastive Learning
Ziyu Jiang
Tianlong Chen
Ting-Li Chen
Zhangyang Wang
108
234
0
26 Oct 2020
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