A Dual-Domain Confidence-Gated Cross Attention module (DD-CGCA), which adaptively fuses spectral and token-domain responses according to content-aware confidence-gated maps and outperforms the state-of-the-art SOTA models qualitatively and quantitatively due to multi-domain context information.
A Boundary-Guided Dual-Perspective Cross-Modal Fusion Network (BDPNet) is proposed to explicitly preserve shallow geometric structures and decouple deep semantic fusion into macroscopic and microscopic perspectives.
Hu Lin, Zhi-Wei Fu, Xiu-Mei Chen et al.· Remote Sensing· 0 citations
The results suggest that separating reliability-oriented correction from multimodal fusion can limit the propagation of unreliable cross-modal responses and improve indoor RGB-D semantic segmentation performance.
Yi-Fan Yu, Zhiwei Zhong, Fan Min et al.· Journal of Imaging· 0 citations
RGB-T multi-modal semantic segmentation has demonstrated immense potential in complex scene understanding. However, existing methods are prone to introducing background noise during cross-modal feature interaction. Furthermore, traditional cascaded decoders frequently suffer from the dilution of deep semantic informati...
Hao-Yang Zhang, Xiao-Hong Dong, Nan Du· International Conference on...· 0 citations
A novel Phase Updating and Transform Network (PUTNet) is developed, which performs two key operations including updating the saliency phase component under RGB-D-Saliency phase consistency constraints, and generating the final saliency map through global phase-to-image transform.
Jing-Yi Xu, Xin Deng, Minglang Qiao et al.· IEEE Transactions on Pattern...· 0 citations
The proposed depth reliability-aware dual-stage RGB-D salient object segmentation framework introduces a multi-level cross-modal feature fusion strategy that adaptively balances RGB semantic information and depth structural cues via modality-aware reweighting and residual semantic anchoring.
Visible-thermal (RGB-T) imaging systems provide crucial complementary information for robust visual sensing and measurement in complex illumination conditions. However, effectively fusing multi-modal sensory data to achieve accurate semantic segmentation remains a key challenge. Most existing methods rely on heuristic...
Hong-Wei Liu, Yi-Sha Liu, Wei-Min Xue et al.· Measurement science and tech...· 0 citations
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