Enhancing Self-supervised Video Representation Learning via Multi-level Feature Optimization-Reference-Cited by-同舟云学术

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

Published:2021-10 Issue: Volume: Page:
ISSN:
Container-title:2021 IEEE/CVF International Conference on Computer Vision (ICCV)
language:
Short-container-title:

Author:

Qian Rui¹,Li Yuxi¹,Liu Huabin¹,See John²,Ding Shuangrui¹,Liu Xian³,Li Dian⁴,Lin Weiyao¹

Affiliation:

1. Shanghai Jiao Tong Univeristy

2. Heriot-Watt University

3. Zhejiang University

4. Tencent PCG

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9709627/9709628/09710241.pdf?arnumber=9710241

Reference83 articles.

1. Loco: Local contrastive representation learning;xiong;arXiv preprint arXiv 2008 06439,2020

2. Rethinking spatiotemporal feature learning: Speed-accuracy trade-offs in video classification;xie;Proceedings of the European Conference on Computer Vision (ECCV),2018

3. Delving into inter-image invariance for unsupervised visual representations;xie;arXiv preprint arXiv 2008 11045,2020

4. Unsupervised Feature Learning via Non-parametric Instance Discrimination

5. Video Playback Rate Perception for Self-Supervised Spatio-Temporal Representation Learning

Cited by 18 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Semantics Meets Temporal Correspondence: Self-supervised Object-centric Learning in Videos;2023 IEEE/CVF International Conference on Computer Vision (ICCV);2023-10-01

2. Similarity contrastive estimation for image and video soft contrastive self-supervised learning;Machine Vision and Applications;2023-09-26

3. Enhancing motion visual cues for self-supervised video representation learning;Engineering Applications of Artificial Intelligence;2023-08

4. Temporal Contrastive Learning with Curriculum;ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2023-06-04

5. ParamCrop: Parametric Cubic Cropping for Video Contrastive Learning;IEEE Transactions on Multimedia;2023