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Rethinking Self-supervised Correspondence Learning: A Video Frame-level
  Similarity Perspective

Rethinking Self-supervised Correspondence Learning: A Video Frame-level Similarity Perspective

31 March 2021
Jiarui Xu
Xiaolong Wang
    VOS
ArXivPDFHTML

Papers citing "Rethinking Self-supervised Correspondence Learning: A Video Frame-level Similarity Perspective"

23 / 23 papers shown
Title
Leveraging Motion Information for Better Self-Supervised Video Correspondence Learning
Leveraging Motion Information for Better Self-Supervised Video Correspondence Learning
Zihan Zhoua
Changrui Daia
Aibo Songa
Xiaolin Fang
VOS
69
0
0
15 Mar 2025
Visual Representation Learning with Stochastic Frame Prediction
Visual Representation Learning with Stochastic Frame Prediction
Huiwon Jang
Dongyoung Kim
Junsu Kim
Jinwoo Shin
Pieter Abbeel
Younggyo Seo
36
2
0
11 Jun 2024
Matching Anything by Segmenting Anything
Matching Anything by Segmenting Anything
Siyuan Li
Lei Ke
Martin Danelljan
Luigi Piccinelli
Mattia Segu
Luc Van Gool
Fisher Yu
VOS
37
22
0
06 Jun 2024
Beyond Traditional Single Object Tracking: A Survey
Beyond Traditional Single Object Tracking: A Survey
Omar Abdelaziz
Mohamed Shehata
Mohamed Mohamed
35
0
0
16 May 2024
Doduo: Learning Dense Visual Correspondence from Unsupervised
  Semantic-Aware Flow
Doduo: Learning Dense Visual Correspondence from Unsupervised Semantic-Aware Flow
Zhenyu Jiang
Hanwen Jiang
Yuke Zhu
VOS
14
4
0
26 Sep 2023
MC-JEPA: A Joint-Embedding Predictive Architecture for Self-Supervised
  Learning of Motion and Content Features
MC-JEPA: A Joint-Embedding Predictive Architecture for Self-Supervised Learning of Motion and Content Features
Adrien Bardes
Jean Ponce
Yann LeCun
MDE
33
23
0
24 Jul 2023
Siamese Masked Autoencoders
Siamese Masked Autoencoders
Agrim Gupta
Jiajun Wu
Jia Deng
Li Fei-Fei
28
48
0
23 May 2023
TEGLO: High Fidelity Canonical Texture Mapping from Single-View Images
TEGLO: High Fidelity Canonical Texture Mapping from Single-View Images
Vishal Vinod
Tanmay Shah
Dmitry Lagun
35
4
0
24 Mar 2023
Self-Supervised Representation Learning from Temporal Ordering of
  Automated Driving Sequences
Self-Supervised Representation Learning from Temporal Ordering of Automated Driving Sequences
Christopher Lang
Alexander Braun
Lars Schillingmann
Karsten Haug
Abhinav Valada
SSL
17
10
0
17 Feb 2023
Deep Learning Technique for Human Parsing: A Survey and Outlook
Deep Learning Technique for Human Parsing: A Survey and Outlook
Lu Yang
Wenhe Jia
Shane Li
Q. Song
ViT
41
17
0
01 Jan 2023
Correspondence Distillation from NeRF-based GAN
Correspondence Distillation from NeRF-based GAN
Yushi Lan
Chen Change Loy
Bo Dai
25
9
0
19 Dec 2022
Motion-inductive Self-supervised Object Discovery in Videos
Motion-inductive Self-supervised Object Discovery in Videos
Shuangrui Ding
Weidi Xie
Yabo Chen
Rui Qian
Xiaopeng Zhang
H. Xiong
Q. Tian
VOS
16
18
0
01 Oct 2022
Time to augment self-supervised visual representation learning
Time to augment self-supervised visual representation learning
A. Aubret
M. Ernst
Céline Teulière
Jochen Triesch
26
10
0
27 Jul 2022
Scene Consistency Representation Learning for Video Scene Segmentation
Scene Consistency Representation Learning for Video Scene Segmentation
Haoqian Wu
Keyu Chen
Yanan Luo
Ruizhi Qiao
Bo Ren
Haozhe Liu
Weicheng Xie
Linlin Shen
SSL
31
16
0
11 May 2022
Particle Video Revisited: Tracking Through Occlusions Using Point
  Trajectories
Particle Video Revisited: Tracking Through Occlusions Using Point Trajectories
Adam W. Harley
Zhaoyuan Fang
Katerina Fragkiadaki
22
160
0
08 Apr 2022
CoordGAN: Self-Supervised Dense Correspondences Emerge from GANs
CoordGAN: Self-Supervised Dense Correspondences Emerge from GANs
Jiteng Mu
Shalini De Mello
Zhiding Yu
Nuno Vasconcelos
X. Wang
Jan Kautz
Sifei Liu
GAN
22
18
0
30 Mar 2022
CYBORGS: Contrastively Bootstrapping Object Representations by Grounding
  in Segmentation
CYBORGS: Contrastively Bootstrapping Object Representations by Grounding in Segmentation
Renhao Wang
Hang Zhao
Yang Gao
SSL
21
1
0
17 Mar 2022
Transfer of Representations to Video Label Propagation: Implementation
  Factors Matter
Transfer of Representations to Video Label Propagation: Implementation Factors Matter
Daniel McKee
Zitong Zhan
Bing Shuai
Davide Modolo
Joseph Tighe
Svetlana Lazebnik
SSL
13
4
0
10 Mar 2022
Kubric: A scalable dataset generator
Kubric: A scalable dataset generator
Klaus Greff
Francois Belletti
Lucas Beyer
Carl Doersch
Yilun Du
...
Ziyu Wang
Tianhao Wu
K. M. Yi
Fangcheng Zhong
Andrea Tagliasacchi
43
250
0
07 Mar 2022
Exploring Temporal Granularity in Self-Supervised Video Representation
  Learning
Exploring Temporal Granularity in Self-Supervised Video Representation Learning
Rui Qian
Yeqing Li
Liangzhe Yuan
Boqing Gong
Ting Liu
Matthew A. Brown
Serge J. Belongie
Ming-Hsuan Yang
Hartwig Adam
Yin Cui
AI4TS
46
6
0
08 Dec 2021
TransFGU: A Top-down Approach to Fine-Grained Unsupervised Semantic
  Segmentation
TransFGU: A Top-down Approach to Fine-Grained Unsupervised Semantic Segmentation
Zhao-Heng Yin
Pichao Wang
Fan Wang
Xianzhe Xu
Hanling Zhang
Hao Li
Rong Jin
27
39
0
02 Dec 2021
Do Different Tracking Tasks Require Different Appearance Models?
Do Different Tracking Tasks Require Different Appearance Models?
Zhongdao Wang
Hengshuang Zhao
Yali Li
Shengjin Wang
Philip H. S. Torr
Luca Bertinetto
34
81
0
05 Jul 2021
Improved Baselines with Momentum Contrastive Learning
Improved Baselines with Momentum Contrastive Learning
Xinlei Chen
Haoqi Fan
Ross B. Girshick
Kaiming He
SSL
267
3,369
0
09 Mar 2020
1