2 papers
cs.CV2025
A Holistically Point-guided Text Framework for Weakly-Supervised Camouflaged Object Detection
Tsui Qin Mok, Shuyong Gao, Haozhe Xing +3
Weakly-Supervised Camouflaged Object Detection (WSCOD) has gained popularity for its promise to train models with weak labels to segment objects that visually blend into their surr…
cs.CV2025
Boosting Salient Object Detection with Knowledge Distillated from Large Foundation Models
Miaoyang He, Shuyong Gao, Tsui Qin Mok +2
Salient Object Detection (SOD) aims to identify and segment prominent regions within a scene. Traditional models rely on manually annotated pseudo labels with precise pixel-level a…