3 citations · 5 across the 3 of their papers we have counts for
3 papers
cs.CV2021★ 3 cited
To be Critical: Self-Calibrated Weakly Supervised Learning for Salient Object Detection
Yongri Piao, Jian Wang, Miao Zhang +2
Weakly-supervised salient object detection (WSOD) aims to develop saliency models using image-level annotations. Despite of the success of previous works, explorations on an effect…
cs.CV2021★ 1 cited
Mining Contextual Information Beyond Image for Semantic Segmentation
Zhenchao Jin, Tao Gong, Dongdong Yu +4
This paper studies the context aggregation problem in semantic image segmentation. The existing researches focus on improving the pixel representations by aggregating the contextua…
cs.CV2019★ 1 cited
Towards Good Practices for Video Object Segmentation
Dongdong Yu, Kai Su, Hengkai Guo +6
Semi-supervised video object segmentation is an interesting yet challenging task in machine learning. In this work, we conduct a series of refinements with the propagation-based vi…