Fine-grained Key-Value Memory Enhanced Predictor for Video Representation Learning

Author:

Li Xiaojie1ORCID,Wu Jianlong2ORCID,He Shaowei2ORCID,Kang Shuo3ORCID,Yu Yue4ORCID,Nie Liqiang2ORCID,Zhang Min2ORCID

Affiliation:

1. Harbin Institute of Technology (Shenzhen) & Peng Cheng Laboratory, Shenzhen, China

2. Harbin Institute of Technology (Shenzhen), Shenzhen, China

3. Sensetime Research, Hangzhou, China

4. Peng Cheng Laboratory, Shenzhen, China

Funder

Shenzhen Higher Education Institutions Stable Support Program (Key Project)

National Natural Science Foundation of China

Shandong Provincial Natural Science Foundation

Publisher

ACM

Reference71 articles.

1. Multimodal Task-Driven Dictionary Learning for Image Classification

2. Unsupervised learning of visual features by contrasting cluster assignments;Caron Mathilde;Advances in Neural Information Processing Systems,2020

3. Emerging Properties in Self-Supervised Vision Transformers

4. Ting Chen , Simon Kornblith , Mohammad Norouzi , and Geoffrey Hinton . 2020 b. A simple framework for contrastive learning of visual representations . In Proceedings of the International Conference on Machine Learning. PMLR, 1597--1607 . Ting Chen, Simon Kornblith, Mohammad Norouzi, and Geoffrey Hinton. 2020b. A simple framework for contrastive learning of visual representations. In Proceedings of the International Conference on Machine Learning. PMLR, 1597--1607.

5. Xinlei Chen , Haoqi Fan , Ross Girshick , and Kaiming He. 2020a. Improved baselines with momentum contrastive learning. arXiv preprint arXiv:2003.04297 ( 2020 ). Xinlei Chen, Haoqi Fan, Ross Girshick, and Kaiming He. 2020a. Improved baselines with momentum contrastive learning. arXiv preprint arXiv:2003.04297 (2020).

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