activity
20222026
most citedUCC: Uncertainty guided Cross-head Co-training for Semi-Supervised Semantic Segmentation

7 citations · 7 across the 4 of their papers we have counts for

collaborators
Showing cs.CVShow all

2 papers · 1 filter

cs.CV2023

ClickSeg: 3D Instance Segmentation with Click-Level Weak Annotations

Leyao Liu, Tao Kong, Minzhao Zhu +2

3D instance segmentation methods often require fully-annotated dense labels for training, which are costly to obtain. In this paper, we present ClickSeg, a novel click-level weakly…

cs.CV2022★ 7 cited

UCC: Uncertainty guided Cross-head Co-training for Semi-Supervised Semantic Segmentation

Jiashuo Fan, Bin Gao, Huan Jin +1

Deep neural networks (DNNs) have witnessed great successes in semantic segmentation, which requires a large number of labeled data for training. We present a novel learning framewo…