3 papers
cs.CV2026
Liquid Fusion of Heterogeneous Representations Towards General Salient Object Detection
Ke Chen, Ling Zhou, Guangqi Jiang +3
General Salient Object Detection (SOD) aims to identify and segment visually interesting objects from uni-modality or multi-modality scenes, recently advanced by cutting-edge State…
cs.CV2024
Seamless Detection: Unifying Salient Object Detection and Camouflaged Object Detection
Yi Liu, Chengxin Li, Xiaohui Dong +4
Achieving joint learning of Salient Object Detection (SOD) and Camouflaged Object Detection (COD) is extremely challenging due to their distinct object characteristics, i.e., salie…
cs.CV2024
Part-Whole Relational Fusion Towards Multi-Modal Scene Understanding
Yi Liu, Chengxin Li, Shoukun Xu +1
Multi-modal fusion has played a vital role in multi-modal scene understanding. Most existing methods focus on cross-modal fusion involving two modalities, often overlooking more co…