17 citations · 58 across the 16 of their papers we have counts for
4 papers · 1 filter
Rethinking Prototypical Contrastive Learning through Alignment, Uniformity and Correlation
Shentong Mo, Zhun Sun, Chao Li
Contrastive self-supervised learning (CSL) with a prototypical regularization has been introduced in learning meaningful representations for downstream tasks that require strong se…
Design of the topology for contrastive visual-textual alignment
Zhun Sun
Cosine similarity is the common choice for measuring the distance between the feature representations in contrastive visual-textual alignment learning. However, empirically a learn…
Siamese Prototypical Contrastive Learning
Shentong Mo, Zhun Sun, Chao Li
Contrastive Self-supervised Learning (CSL) is a practical solution that learns meaningful visual representations from massive data in an unsupervised approach. The ordinary CSL emb…
Revisiting Classifier: Transferring Vision-Language Models for Video Recognition
Wenhao Wu, Zhun Sun, Wanli Ouyang
Transferring knowledge from task-agnostic pre-trained deep models for downstream tasks is an important topic in computer vision research. Along with the growth of computational cap…