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Self-Supervised Visual Representation Learning from Hierarchical
  Grouping

Self-Supervised Visual Representation Learning from Hierarchical Grouping

5 December 2020
Xiao Zhang
Michael Maire
    SSL
ArXivPDFHTML

Papers citing "Self-Supervised Visual Representation Learning from Hierarchical Grouping"

43 / 43 papers shown
Title
LaneCorrect: Self-supervised Lane Detection
LaneCorrect: Self-supervised Lane Detection
Ming-Jun Nie
Xinyue Cai
Han Xu
Li Zhang
SSL
86
4
0
23 Apr 2024
Decision-Making with Auto-Encoding Variational Bayes
Decision-Making with Auto-Encoding Variational Bayes
Romain Lopez
Pierre Boyeau
Nir Yosef
Michael I. Jordan
Jeffrey Regier
BDL
390
10,591
0
17 Feb 2020
A Simple Framework for Contrastive Learning of Visual Representations
A Simple Framework for Contrastive Learning of Visual Representations
Ting-Li Chen
Simon Kornblith
Mohammad Norouzi
Geoffrey E. Hinton
SSL
358
18,739
0
13 Feb 2020
Momentum Contrast for Unsupervised Visual Representation Learning
Momentum Contrast for Unsupervised Visual Representation Learning
Kaiming He
Haoqi Fan
Yuxin Wu
Saining Xie
Ross B. Girshick
SSL
196
12,073
0
13 Nov 2019
SegSort: Segmentation by Discriminative Sorting of Segments
SegSort: Segmentation by Discriminative Sorting of Segments
Jyh-Jing Hwang
Stella X. Yu
Jianbo Shi
Maxwell D. Collins
Tien-Ju Yang
Xiao Zhang
Liang-Chieh Chen
205
149
0
15 Oct 2019
Large Scale Adversarial Representation Learning
Large Scale Adversarial Representation Learning
Jeff Donahue
Karen Simonyan
SSL
124
543
0
04 Jul 2019
Contrastive Multiview Coding
Contrastive Multiview Coding
Yonglong Tian
Dilip Krishnan
Phillip Isola
SSL
155
2,399
0
13 Jun 2019
Unsupervised Embedding Learning via Invariant and Spreading Instance
  Feature
Unsupervised Embedding Learning via Invariant and Spreading Instance Feature
Mang Ye
Xu-Yao Zhang
PongChi Yuen
Shih-Fu Chang
SSL
78
581
0
06 Apr 2019
Multigrid Predictive Filter Flow for Unsupervised Learning on Videos
Multigrid Predictive Filter Flow for Unsupervised Learning on Videos
Shu Kong
Charless C. Fowlkes
63
16
0
02 Apr 2019
Local Aggregation for Unsupervised Learning of Visual Embeddings
Local Aggregation for Unsupervised Learning of Visual Embeddings
Chengxu Zhuang
Alex Zhai
Daniel L. K. Yamins
SSL
89
447
0
29 Mar 2019
Self-Supervised Learning via Conditional Motion Propagation
Self-Supervised Learning via Conditional Motion Propagation
Xiaohang Zhan
Xingang Pan
Ziwei Liu
Dahua Lin
Chen Change Loy
SSL
61
47
0
27 Mar 2019
Learning Correspondence from the Cycle-Consistency of Time
Learning Correspondence from the Cycle-Consistency of Time
Xinyu Wang
Allan Jabri
Alexei A. Efros
SSL
77
490
0
18 Mar 2019
Cross Pixel Optical Flow Similarity for Self-Supervised Learning
Cross Pixel Optical Flow Similarity for Self-Supervised Learning
Aravindh Mahendran
James Thewlis
Andrea Vedaldi
SSL
73
61
0
15 Jul 2018
Deep Clustering for Unsupervised Learning of Visual Features
Deep Clustering for Unsupervised Learning of Visual Features
Mathilde Caron
Piotr Bojanowski
Armand Joulin
Matthijs Douze
SSL
88
1,894
0
15 Jul 2018
Representation Learning with Contrastive Predictive Coding
Representation Learning with Contrastive Predictive Coding
Aaron van den Oord
Yazhe Li
Oriol Vinyals
DRL
SSL
304
10,284
0
10 Jul 2018
Tracking Emerges by Colorizing Videos
Tracking Emerges by Colorizing Videos
Carl Vondrick
Abhinav Shrivastava
Alireza Fathi
S. Guadarrama
Kevin Patrick Murphy
75
377
0
25 Jun 2018
Unsupervised Feature Learning via Non-Parametric Instance-level
  Discrimination
Unsupervised Feature Learning via Non-Parametric Instance-level Discrimination
Zhirong Wu
Yuanjun Xiong
Stella X. Yu
Dahua Lin
SSL
170
3,452
0
05 May 2018
Blazingly Fast Video Object Segmentation with Pixel-Wise Metric Learning
Blazingly Fast Video Object Segmentation with Pixel-Wise Metric Learning
Yuhua Chen
Jordi Pont-Tuset
Alberto Montes
Luc Van Gool
VOS
53
265
0
09 Apr 2018
Unsupervised Representation Learning by Predicting Image Rotations
Unsupervised Representation Learning by Predicting Image Rotations
Spyros Gidaris
Praveer Singh
N. Komodakis
OOD
SSL
DRL
252
3,288
0
21 Mar 2018
Recurrent Pixel Embedding for Instance Grouping
Recurrent Pixel Embedding for Instance Grouping
Shu Kong
Charless C. Fowlkes
103
179
0
22 Dec 2017
Rethinking Atrous Convolution for Semantic Image Segmentation
Rethinking Atrous Convolution for Semantic Image Segmentation
Liang-Chieh Chen
George Papandreou
Florian Schroff
Hartwig Adam
SSeg
225
8,470
0
17 Jun 2017
The 2017 DAVIS Challenge on Video Object Segmentation
The 2017 DAVIS Challenge on Video Object Segmentation
Jordi Pont-Tuset
Federico Perazzi
Sergi Caelles
Pablo Arbeláez
A. Sorkine-Hornung
Luc Van Gool
VGen
VOS
78
1,208
0
03 Apr 2017
Semantic Instance Segmentation via Deep Metric Learning
Semantic Instance Segmentation via Deep Metric Learning
Alireza Fathi
Z. Wojna
V. Rathod
Peng Wang
Hyun Oh Song
S. Guadarrama
Kevin Patrick Murphy
SSeg
50
202
0
30 Mar 2017
Colorization as a Proxy Task for Visual Understanding
Colorization as a Proxy Task for Visual Understanding
Gustav Larsson
Michael Maire
Gregory Shakhnarovich
SSL
142
497
0
11 Mar 2017
Learning Features by Watching Objects Move
Learning Features by Watching Objects Move
Deepak Pathak
Ross B. Girshick
Piotr Dollár
Trevor Darrell
Bharath Hariharan
SSL
VOS
OCL
69
525
0
19 Dec 2016
FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks
FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks
Eddy Ilg
N. Mayer
Tonmoy Saikia
Margret Keuper
Alexey Dosovitskiy
Thomas Brox
3DPC
255
3,079
0
06 Dec 2016
Split-Brain Autoencoders: Unsupervised Learning by Cross-Channel
  Prediction
Split-Brain Autoencoders: Unsupervised Learning by Cross-Channel Prediction
Richard Y. Zhang
Phillip Isola
Alexei A. Efros
SSL
DRL
61
668
0
29 Nov 2016
Asynchrony begets Momentum, with an Application to Deep Learning
Asynchrony begets Momentum, with an Application to Deep Learning
Jeff Donahue
Philipp Krahenbuhl
Stefan Hadjis
Christopher Ré
92
141
0
31 May 2016
Context Encoders: Feature Learning by Inpainting
Context Encoders: Feature Learning by Inpainting
Deepak Pathak
Philipp Krahenbuhl
Jeff Donahue
Trevor Darrell
Alexei A. Efros
SSL
67
5,293
0
25 Apr 2016
Unsupervised Learning of Visual Representations by Solving Jigsaw
  Puzzles
Unsupervised Learning of Visual Representations by Solving Jigsaw Puzzles
M. Noroozi
Paolo Favaro
SSL
168
2,979
0
30 Mar 2016
Colorful Image Colorization
Colorful Image Colorization
Richard Y. Zhang
Phillip Isola
Alexei A. Efros
127
36
0
28 Mar 2016
Learning Representations for Automatic Colorization
Learning Representations for Automatic Colorization
Gustav Larsson
Michael Maire
Gregory Shakhnarovich
VLM
SSL
84
1,013
0
22 Mar 2016
Object Contour Detection with a Fully Convolutional Encoder-Decoder
  Network
Object Contour Detection with a Fully Convolutional Encoder-Decoder Network
Jimei Yang
Brian L. Price
Scott D. Cohen
Honglak Lee
Ming-Hsuan Yang
ObjD
53
366
0
15 Mar 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.2K
193,878
0
10 Dec 2015
Pushing the Boundaries of Boundary Detection using Deep Learning
Pushing the Boundaries of Boundary Detection using Deep Learning
Iasonas Kokkinos
51
232
0
23 Nov 2015
Unsupervised Learning of Edges
Unsupervised Learning of Edges
Yin Li
Manohar Paluri
James M. Rehg
Piotr Dollár
SSL
53
91
0
13 Nov 2015
Unsupervised Visual Representation Learning by Context Prediction
Unsupervised Visual Representation Learning by Context Prediction
Carl Doersch
Abhinav Gupta
Alexei A. Efros
DRL
SSL
164
2,781
0
19 May 2015
Holistically-Nested Edge Detection
Holistically-Nested Edge Detection
Saining Xie
Zhuowen Tu
129
3,493
0
24 Apr 2015
High-for-Low and Low-for-High: Efficient Boundary Detection from Deep
  Object Features and its Applications to High-Level Vision
High-for-Low and Low-for-High: Efficient Boundary Detection from Deep Object Features and its Applications to High-Level Vision
Gedas Bertasius
Jianbo Shi
Lorenzo Torresani
55
168
0
23 Apr 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.8K
150,039
0
22 Dec 2014
Hypercolumns for Object Segmentation and Fine-grained Localization
Hypercolumns for Object Segmentation and Fine-grained Localization
Bharath Hariharan
Pablo Arbeláez
Ross B. Girshick
Jitendra Malik
SSeg
128
1,595
0
21 Nov 2014
Fast Edge Detection Using Structured Forests
Fast Edge Detection Using Structured Forests
Piotr Dollár
C. L. Zitnick
78
932
0
20 Jun 2014
Microsoft COCO: Common Objects in Context
Microsoft COCO: Common Objects in Context
Nayeon Lee
Michael Maire
Serge J. Belongie
Lubomir Bourdev
Ross B. Girshick
James Hays
Pietro Perona
Deva Ramanan
C. L. Zitnick
Piotr Dollár
ObjD
413
43,638
0
01 May 2014
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