153 citations · 217 across the 11 of their papers we have counts for
4 papers · 1 filter
Dynamic Feature Regularized Loss for Weakly Supervised Semantic Segmentation
Bingfeng Zhang, Jimin Xiao, Yao Zhao
We focus on tackling weakly supervised semantic segmentation with scribble-level annotation. The regularized loss has been proven to be an effective solution for this task. However…
Fast Pixel-Matching for Video Object Segmentation
Siyue Yu, Jimin Xiao, BingFeng Zhang +1
Video object segmentation, aiming to segment the foreground objects given the annotation of the first frame, has been attracting increasing attentions. Many state-of-the-art approa…
Affinity Attention Graph Neural Network for Weakly Supervised Semantic Segmentation
Bingfeng Zhang, Jimin Xiao, Jianbo Jiao +2
Weakly supervised semantic segmentation is receiving great attention due to its low human annotation cost. In this paper, we aim to tackle bounding box supervised semantic segmenta…
Self-Guided and Cross-Guided Learning for Few-Shot Segmentation
Bingfeng Zhang, Jimin Xiao, Terry Qin
Few-shot segmentation has been attracting a lot of attention due to its effectiveness to segment unseen object classes with a few annotated samples. Most existing approaches use ma…