441 citations · 803 across the 22 of their papers we have counts for
5 papers · 1 filter
Revitalizing CNN Attentions via Transformers in Self-Supervised Visual Representation Learning
Chongjian Ge, Youwei Liang, Yibing Song +3
Studies on self-supervised visual representation learning (SSL) improve encoder backbones to discriminate training samples without labels. While CNN encoders via SSL achieve compar…
Motion-aware Contrastive Video Representation Learning via Foreground-background Merging
Shuangrui Ding, Maomao Li, Tianyu Yang +5
In light of the success of contrastive learning in the image domain, current self-supervised video representation learning methods usually employ contrastive loss to facilitate vid…
Generalized One-Class Learning Using Pairs of Complementary Classifiers
Anoop Cherian, Jue Wang
One-class learning is the classic problem of fitting a model to the data for which annotations are available only for a single class. In this paper, we explore novel objectives for…
Long-Short Temporal Contrastive Learning of Video Transformers
Jue Wang, Gedas Bertasius, Du Tran +1
Video transformers have recently emerged as a competitive alternative to 3D CNNs for video understanding. However, due to their large number of parameters and reduced inductive bia…
Learning Log-Determinant Divergences for Positive Definite Matrices
Anoop Cherian, Panagiotis Stanitsas, Jue Wang +3
Representations in the form of Symmetric Positive Definite (SPD) matrices have been popularized in a variety of visual learning applications due to their demonstrated ability to ca…