ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2108.02183
  4. Cited By
Enhancing Self-supervised Video Representation Learning via Multi-level
  Feature Optimization

Enhancing Self-supervised Video Representation Learning via Multi-level Feature Optimization

4 August 2021
Rui Qian
Yuxi Li
Huabin Liu
John See
Shuangrui Ding
Xian Liu
Dian Li
Weiyao Lin
ArXivPDFHTML

Papers citing "Enhancing Self-supervised Video Representation Learning via Multi-level Feature Optimization"

50 / 71 papers shown
Title
Collaboratively Self-supervised Video Representation Learning for Action Recognition
Collaboratively Self-supervised Video Representation Learning for Action Recognition
Jie Zhang
Zhifan Wan
Lanqing Hu
Stephen Lin
Shuzhe Wu
Shiguang Shan
TTA
81
1
0
15 Jan 2024
Shape or Texture: Understanding Discriminative Features in CNNs
Shape or Texture: Understanding Discriminative Features in CNNs
Md. Amirul Islam
M. Kowal
Patrick Esser
Sen Jia
Bjorn Ommer
Konstantinos G. Derpanis
Neil D. B. Bruce
44
75
0
27 Jan 2021
SEED: Self-supervised Distillation For Visual Representation
SEED: Self-supervised Distillation For Visual Representation
Zhiyuan Fang
Jianfeng Wang
Lijuan Wang
Lei Zhang
Yezhou Yang
Zicheng Liu
SSL
273
190
0
12 Jan 2021
Temporal Contrastive Graph Learning for Video Action Recognition and
  Retrieval
Temporal Contrastive Graph Learning for Video Action Recognition and Retrieval
Yang Liu
Keze Wang
Haoyuan Lan
Liang Lin
117
16
0
04 Jan 2021
Can Temporal Information Help with Contrastive Self-Supervised Learning?
Can Temporal Information Help with Contrastive Self-Supervised Learning?
Yutong Bai
Haoqi Fan
Ishan Misra
Ganesh Venkatesh
Yongyi Lu
Yuyin Zhou
Qihang Yu
Vikas Chandra
Alan Yuille
93
40
0
25 Nov 2020
Can Semantic Labels Assist Self-Supervised Visual Representation
  Learning?
Can Semantic Labels Assist Self-Supervised Visual Representation Learning?
Longhui Wei
Lingxi Xie
Jianzhong He
Jianlong Chang
Xiaopeng Zhang
Wen-gang Zhou
Houqiang Li
Qi Tian
SSL
32
25
0
17 Nov 2020
Unsupervised Video Representation Learning by Bidirectional Feature
  Prediction
Unsupervised Video Representation Learning by Bidirectional Feature Prediction
Nadine Behrmann
Juergen Gall
M. Noroozi
SSL
MDE
32
29
0
11 Nov 2020
Cycle-Contrast for Self-Supervised Video Representation Learning
Cycle-Contrast for Self-Supervised Video Representation Learning
Quan Kong
Wen Wei
Ziwei Deng
Tomoaki Yoshinaga
Tomokazu Murakami
SSL
31
55
0
28 Oct 2020
Self-supervised Co-training for Video Representation Learning
Self-supervised Co-training for Video Representation Learning
Tengda Han
Weidi Xie
Andrew Zisserman
SSL
228
313
0
19 Oct 2020
Unsupervised Semantic Aggregation and Deformable Template Matching for
  Semi-Supervised Learning
Unsupervised Semantic Aggregation and Deformable Template Matching for Semi-Supervised Learning
Tao Han
Junyu Gao
Yuan. Yuan
Qi. Wang
27
26
0
12 Oct 2020
CO2: Consistent Contrast for Unsupervised Visual Representation Learning
CO2: Consistent Contrast for Unsupervised Visual Representation Learning
Chen Wei
Huiyu Wang
Wei Shen
Alan Yuille
SSL
51
62
0
05 Oct 2020
Consensus Clustering With Unsupervised Representation Learning
Consensus Clustering With Unsupervised Representation Learning
Jayanth Reddy Regatti
A. Deshmukh
Eren Manavoglu
Ürün Dogan
OOD
SSL
46
20
0
03 Oct 2020
Removing the Background by Adding the Background: Towards Background
  Robust Self-supervised Video Representation Learning
Removing the Background by Adding the Background: Towards Background Robust Self-supervised Video Representation Learning
Jinpeng Wang
Yuting Gao
Ke Li
Yiqi Lin
A. J. Ma
Hao Cheng
Pai Peng
Feiyue Huang
Rongrong Ji
Xing Sun
SSL
71
96
0
12 Sep 2020
Enhancing Unsupervised Video Representation Learning by Decoupling the
  Scene and the Motion
Enhancing Unsupervised Video Representation Learning by Decoupling the Scene and the Motion
Jinpeng Wang
Yuting Gao
Ke Li
Jianguo Hu
Xinyang Jiang
Xiao-Wei Guo
Rongrong Ji
Xing Sun
47
64
0
12 Sep 2020
Self-supervised Video Representation Learning by Uncovering
  Spatio-temporal Statistics
Self-supervised Video Representation Learning by Uncovering Spatio-temporal Statistics
Jiangliu Wang
Jianbo Jiao
Linchao Bao
Shengfeng He
Wei Liu
Yunhui Liu
SSL
AI4TS
23
55
0
31 Aug 2020
Delving into Inter-Image Invariance for Unsupervised Visual
  Representations
Delving into Inter-Image Invariance for Unsupervised Visual Representations
Jiahao Xie
Xiaohang Zhan
Ziwei Liu
Yew-Soon Ong
Chen Change Loy
SSL
VLM
34
58
0
26 Aug 2020
Motion Capture from Internet Videos
Motion Capture from Internet Videos
Junting Dong
Qing Shuai
Yuanqing Zhang
Xian Liu
Xiaowei Zhou
Hujun Bao
3DH
45
49
0
18 Aug 2020
Self-supervised Video Representation Learning by Pace Prediction
Self-supervised Video Representation Learning by Pace Prediction
Jiangliu Wang
Jianbo Jiao
Yunhui Liu
SSL
AI4TS
37
234
0
13 Aug 2020
Spatiotemporal Contrastive Video Representation Learning
Spatiotemporal Contrastive Video Representation Learning
Rui Qian
Tianjian Meng
Boqing Gong
Ming-Hsuan Yang
Haoran Wang
Serge J. Belongie
Huayu Chen
SSL
AI4TS
94
495
0
09 Aug 2020
LoCo: Local Contrastive Representation Learning
LoCo: Local Contrastive Representation Learning
Yuwen Xiong
Mengye Ren
R. Urtasun
SSL
DRL
55
70
0
04 Aug 2020
Memory-augmented Dense Predictive Coding for Video Representation
  Learning
Memory-augmented Dense Predictive Coding for Video Representation Learning
Tengda Han
Weidi Xie
Andrew Zisserman
SSL
50
241
0
03 Aug 2020
SeCo: Exploring Sequence Supervision for Unsupervised Representation
  Learning
SeCo: Exploring Sequence Supervision for Unsupervised Representation Learning
Ting Yao
Yiheng Zhang
Zhaofan Qiu
Yingwei Pan
Tao Mei
DRL
73
110
0
03 Aug 2020
Video Representation Learning by Recognizing Temporal Transformations
Video Representation Learning by Recognizing Temporal Transformations
Simon Jenni
Givi Meishvili
Paolo Favaro
158
134
0
21 Jul 2020
Parametric Instance Classification for Unsupervised Visual Feature
  Learning
Parametric Instance Classification for Unsupervised Visual Feature Learning
Yue Cao
Zhenda Xie
B. Liu
Yutong Lin
Zheng Zhang
Han Hu
VLM
52
60
0
25 Jun 2020
Space-Time Correspondence as a Contrastive Random Walk
Space-Time Correspondence as a Contrastive Random Walk
Allan Jabri
Andrew Owens
Alexei A. Efros
SSL
OT
50
295
0
25 Jun 2020
Labelling unlabelled videos from scratch with multi-modal
  self-supervision
Labelling unlabelled videos from scratch with multi-modal self-supervision
Yuki M. Asano
Mandela Patrick
Christian Rupprecht
Andrea Vedaldi
SSL
40
152
0
24 Jun 2020
Video Playback Rate Perception for Self-supervisedSpatio-Temporal
  Representation Learning
Video Playback Rate Perception for Self-supervisedSpatio-Temporal Representation Learning
Yuan Yao
Chang-rui Liu
Dezhao Luo
Yu Zhou
QiXiang Ye
36
169
0
20 Jun 2020
Unsupervised Learning of Visual Features by Contrasting Cluster
  Assignments
Unsupervised Learning of Visual Features by Contrasting Cluster Assignments
Mathilde Caron
Ishan Misra
Julien Mairal
Priya Goyal
Piotr Bojanowski
Armand Joulin
OCL
SSL
108
4,032
0
17 Jun 2020
What makes instance discrimination good for transfer learning?
What makes instance discrimination good for transfer learning?
Nanxuan Zhao
Zhirong Wu
Rynson W. H. Lau
Stephen Lin
SSL
48
168
0
11 Jun 2020
Towards More Practical Adversarial Attacks on Graph Neural Networks
Towards More Practical Adversarial Attacks on Graph Neural Networks
Jiaqi Ma
Shuangrui Ding
Qiaozhu Mei
AAML
31
121
0
09 Jun 2020
Prototypical Contrastive Learning of Unsupervised Representations
Prototypical Contrastive Learning of Unsupervised Representations
Junnan Li
Pan Zhou
Caiming Xiong
Guosheng Lin
SSL
DRL
106
965
0
11 May 2020
SpeedNet: Learning the Speediness in Videos
SpeedNet: Learning the Speediness in Videos
Sagie Benaim
Ariel Ephrat
Oran Lang
Inbar Mosseri
William T. Freeman
Michael Rubinstein
Michal Irani
Tali Dekel
36
258
0
13 Apr 2020
TEA: Temporal Excitation and Aggregation for Action Recognition
TEA: Temporal Excitation and Aggregation for Action Recognition
Yan-Ran Li
Bin Ji
Xintian Shi
Jianguo Zhang
Bin Kang
Limin Wang
ViT
52
441
0
03 Apr 2020
Watching the World Go By: Representation Learning from Unlabeled Videos
Watching the World Go By: Representation Learning from Unlabeled Videos
Daniel Gordon
Kiana Ehsani
Dieter Fox
Ali Farhadi
SSL
AI4TS
52
88
0
18 Mar 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
165
18,523
0
13 Feb 2020
Video Cloze Procedure for Self-Supervised Spatio-Temporal Learning
Video Cloze Procedure for Self-Supervised Spatio-Temporal Learning
Dezhao Luo
Chang-rui Liu
Yu Zhou
Dongbao Yang
Can Ma
QiXiang Ye
Weiping Wang
SSL
31
160
0
02 Jan 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
85
11,959
0
13 Nov 2019
Self-labelling via simultaneous clustering and representation learning
Self-labelling via simultaneous clustering and representation learning
Yuki M. Asano
Christian Rupprecht
Andrea Vedaldi
SSL
71
769
0
13 Nov 2019
Joint-task Self-supervised Learning for Temporal Correspondence
Joint-task Self-supervised Learning for Temporal Correspondence
Xueting Li
Sifei Liu
Shalini De Mello
Xiaolong Wang
Jan Kautz
Ming-Hsuan Yang
SSL
40
139
0
26 Sep 2019
Video Representation Learning by Dense Predictive Coding
Video Representation Learning by Dense Predictive Coding
Tengda Han
Weidi Xie
Andrew Zisserman
SSL
61
359
0
10 Sep 2019
On Mutual Information Maximization for Representation Learning
On Mutual Information Maximization for Representation Learning
Michael Tschannen
Josip Djolonga
Paul Kishan Rubenstein
Sylvain Gelly
Mario Lucic
SSL
142
490
0
31 Jul 2019
Use What You Have: Video Retrieval Using Representations From
  Collaborative Experts
Use What You Have: Video Retrieval Using Representations From Collaborative Experts
Yang Liu
Samuel Albanie
Arsha Nagrani
Andrew Zisserman
53
387
0
31 Jul 2019
Contrastive Multiview Coding
Contrastive Multiview Coding
Yonglong Tian
Dilip Krishnan
Phillip Isola
SSL
127
2,385
0
13 Jun 2019
HowTo100M: Learning a Text-Video Embedding by Watching Hundred Million
  Narrated Video Clips
HowTo100M: Learning a Text-Video Embedding by Watching Hundred Million Narrated Video Clips
Antoine Miech
Dimitri Zhukov
Jean-Baptiste Alayrac
Makarand Tapaswi
Ivan Laptev
Josef Sivic
VGen
87
1,186
0
07 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
52
580
0
06 Apr 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
53
488
0
18 Mar 2019
SlowFast Networks for Video Recognition
SlowFast Networks for Video Recognition
Christoph Feichtenhofer
Haoqi Fan
Jitendra Malik
Kaiming He
136
3,244
0
10 Dec 2018
Self-Supervised Video Representation Learning with Space-Time Cubic
  Puzzles
Self-Supervised Video Representation Learning with Space-Time Cubic Puzzles
Dahun Kim
Donghyeon Cho
In So Kweon
SSL
49
346
0
24 Nov 2018
Rethinking ImageNet Pre-training
Rethinking ImageNet Pre-training
Kaiming He
Ross B. Girshick
Piotr Dollár
VLM
SSeg
89
1,081
0
21 Nov 2018
Representation Flow for Action Recognition
Representation Flow for Action Recognition
A. Piergiovanni
Michael S. Ryoo
64
147
0
02 Oct 2018
12
Next