activity
20242026
most citedAllSpark: Reborn Labeled Features from Unlabeled in Transformer for Semi-Supervised Semantic Segmentation

2 citations · 2 across the 9 of their papers we have counts for

collaborators
Showing 2024Show all

2 papers · 1 filter

cs.CV2024★ 2 cited

AllSpark: Reborn Labeled Features from Unlabeled in Transformer for Semi-Supervised Semantic Segmentation

Haonan Wang, Qixiang Zhang, Yi Li +1

Semi-supervised semantic segmentation (SSSS) has been proposed to alleviate the burden of time-consuming pixel-level manual labeling, which leverages limited labeled data along wit…

q-bio.BM2024

Exploiting Hierarchical Interactions for Protein Surface Learning

Yiqun Lin, Liang Pan, Yi Li +2

Predicting interactions between proteins is one of the most important yet challenging problems in structural bioinformatics. Intrinsically, potential function sites in protein surf…