Unified segmentation aims to consolidate multiple vision tasks into a single model, yet faces two core challenges: learning robust homogeneous features (e.g., shared low- and mid-level cues) to enable cross-domain knowledge transfer, while disentangling heterogeneous features (e.g., task-specific semantic objectives) t...
Jin-Yu Han, Chang-Guang Wu, Fu-Ming Sun et al.· Proceedings of the Thirty-Fi...· 0 citations
A dual-path color-decoupled network, termed DPCDNet, which progressively decouples luminance and chrominance at three stages: source, interaction, and output, offering a new approach for enhancement techniques that balance brightness and color.
Fu-Ming Sun, Jiao-Jiao Li, Jing Sun et al.· Multimedia Systems· 0 citations
The Depth Segment Anything Model (DepthSAM), a MDE-adapted method specifically designed to mitigate this misalignment, achieves both robust semantic understanding in camouflaged environments and accurate segmentation of camouflaged objects.
Jinyu Han, Changguang Wu, Fuming Sun et al.· 1 citation
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