Dual Contrastive Learning for Spatio-temporal Representation-Reference-Cited by-同舟云学术

Dual Contrastive Learning for Spatio-temporal Representation

Published:2022-10-10 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 30th ACM International Conference on Multimedia
language:
Short-container-title:

Author:

Ding Shuangrui¹,Qian Rui²,Xiong Hongkai¹

Affiliation:

1. Shanghai Jiao Tong University, Shanghai, China

2. The Chinese University of Hong Kong, Hong Kong, China

Funder

National Natural Science Foundation of China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3503161.3547783

Reference68 articles.

1. Humam Alwassel , Dhruv Mahajan , Bruno Korbar , Lorenzo Torresani , Bernard Ghanem , and Du Tran . 2019. Self-supervised learning by cross-modal audio-video clustering. arXiv preprint arXiv:1911.12667 ( 2019 ). Humam Alwassel, Dhruv Mahajan, Bruno Korbar, Lorenzo Torresani, Bernard Ghanem, and Du Tran. 2019. Self-supervised learning by cross-modal audio-video clustering. arXiv preprint arXiv:1911.12667 (2019).

2. PsyNet: Self-Supervised Approach to Object Localization Using Point Symmetric Transformation

3. Unsupervised Video Representation Learning by Bidirectional Feature Prediction

4. SpeedNet: Learning the Speediness in Videos

5. Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset

Cited by 12 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. Cross-view motion consistent self-supervised video inter-intra contrastive for action representation understanding;Neural Networks;2024-11

2. Motion-guided spatiotemporal multitask feature discrimination for self-supervised video representation learning;Pattern Recognition;2024-11

3. Data-unbalanced traffic accident prediction via adaptive graph and self-supervised learning;Applied Soft Computing;2024-05

4. Controllable augmentations for video representation learning;Visual Intelligence;2024-01-10

5. Spatial-Temporal Video Grounding with Cross-Modal Understanding and Enhancement;2024