Representation learning from videos in-the-wild: An object-centric approach

6 October 2020

Papers citing "Representation learning from videos in-the-wild: An object-centric approach"

5 / 5 papers shown

Title
Federated Self-supervised Learning for Video Understanding Yasar Abbas Ur Rehman Yan Gao Jiajun Shen Pedro Porto Buarque de Gusmão Nicholas D. Lane FedML 28 15 0 05 Jul 2022
Ranking Info Noise Contrastive Estimation: Boosting Contrastive Learning via Ranked Positives David T. Hoffmann Nadine Behrmann Juergen Gall Thomas Brox M. Noroozi 27 43 0 27 Jan 2022
Self-supervised Video Representation Learning with Cross-Stream Prototypical Contrasting Martine Toering Ioannis Gatopoulos M. Stol Vincent Tao Hu SSL 30 11 0 18 Jun 2021
Improved Baselines with Momentum Contrastive Learning Xinlei Chen Haoqi Fan Ross B. Girshick Kaiming He SSL 267 3,369 0 09 Mar 2020
Disentangling Physical Dynamics from Unknown Factors for Unsupervised Video Prediction Vincent Le Guen Nicolas Thome AI4CE PINN 89 288 0 03 Mar 2020