most citedBoosting RGB-D Saliency Detection by Leveraging Unlabeled RGB Images

26 citations · 46 across the 5 of their papers we have counts for

collaborators
Showing cs.CVShow all

2 papers · 1 filter

cs.CV2023

Towards High-Quality Specular Highlight Removal by Leveraging Large-Scale Synthetic Data

Gang Fu, Qing Zhang, Lei Zhu +2

This paper aims to remove specular highlights from a single object-level image. Although previous methods have made some progresses, their performance remains somewhat limited, par…

cs.CV2022★ 9 cited

RSCFed: Random Sampling Consensus Federated Semi-supervised Learning

Xiaoxiao Liang, Yiqun Lin, Huazhu Fu +2

Federated semi-supervised learning (FSSL) aims to derive a global model by training fully-labeled and fully-unlabeled clients or training partially labeled clients. The existing ap…