RGBD Salient Object Detection via Disentangled Cross-Modal Fusion

Author:

Chen HaoORCID,Deng YongjianORCID,Li YoufuORCID,Hung Tzu-Yi,Lin GuoshengORCID

Funder

Research Grants Council of Hong Kong

Delta-NTU Corporate Lab for Cyber-Physical Systems with Delta Electronics Inc.

National Research Foundation (NRF) Singapore under the Corp Lab@University Scheme

National Research Foundation Singapore under its AI Singapore Program

MOE Tier-1 Research

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Graphics and Computer-Aided Design,Software

Cited by 77 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Consistent Features From Varied Contexts and Ordered Multiple Attention Forms for RGB-D Salient Object Detection;IEEE Sensors Journal;2024-08-15

2. GroupTransNet: Group transformer network for RGB-D salient object detection;Neurocomputing;2024-08

3. RGB-D Fusion Through Zero-Shot Fuzzy Membership Learning for Salient Object Detection;IEEE Transactions on Artificial Intelligence;2024-07

4. RGB-T Salient Object Detection Based on the Segment Anything Model;2024 6th International Conference on Communications, Information System and Computer Engineering (CISCE);2024-05-10

5. Towards Diverse Binary Segmentation via a Simple yet General Gated Network;International Journal of Computer Vision;2024-05-07

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