343 citations · 425 across the 10 of their papers we have counts for
4 papers · 1 filter
Boosting Weakly-Supervised Image Segmentation via Representation, Transform, and Compensator
Chunyan Wang, Dong Zhang, Rui Yan
Weakly-supervised image segmentation (WSIS) is a critical task in computer vision that relies on image-level class labels. Multi-stage training procedures have been widely used in…
Synthetic Instance Segmentation from Semantic Image Segmentation Masks
Yuchen Shen, Dong Zhang, Zhao Zhang +2
In recent years, instance segmentation has garnered significant attention across various applications. However, training a fully-supervised instance segmentation model requires cos…
Coupling Global Context and Local Contents for Weakly-Supervised Semantic Segmentation
Chunyan Wang, Dong Zhang, Liyan Zhang +1
Thanks to the advantages of the friendly annotations and the satisfactory performance, Weakly-Supervised Semantic Segmentation (WSSS) approaches have been extensively studied. Rece…
Semantic Scene Completion with Cleaner Self
Fengyun Wang, Dong Zhang, Hanwang Zhang +2
Semantic Scene Completion (SSC) transforms an image of single-view depth and/or RGB 2D pixels into 3D voxels, each of whose semantic labels are predicted. SSC is a well-known ill-p…