SDDNet: Style-guided Dual-layer Disentanglement Network for Shadow Detection

Author:

Cong Runmin1ORCID,Guan Yuchen2ORCID,Chen Jinpeng3ORCID,Zhang Wei1ORCID,Zhao Yao2ORCID,Kwong Sam4ORCID

Affiliation:

1. Shandong University & Ministry of Education, Jinan, China

2. Beijing Jiaotong University, Beijing, China

3. City University of Hong Kong, Hong Kong SAR, Hong Kong

4. City University of Hong Kong & Lingnan University, Hong Kong SAR, Hong Kong

Funder

Project for Self-Developed Innovation Team of Jinan City

Young Elite Scientist Sponsorship Program by the China Association for Science and Technology

CAAI-Huawei MindSpore Open Fund

Hong Kong GRF-RGC General Research Fund

National Key R&D Program of China

National Natural Science Foundation of China

Taishan Scholar Project of Shandong Province

Hong Kong Innovation and Technology Commission (InnoHK Project CIMDA)

Publisher

ACM

Reference64 articles.

1. DPANet: Depth Potentiality-Aware Gated Attention Network for RGB-D Salient Object Detection

2. Triple-cooperative Video Shadow Detection

3. A Multi-Task Mean Teacher for Semi-Supervised Shadow Detection

4. Runmin Cong , Ke Huang , Jianjun Lei , Yao Zhao , Qingming Huang , and Sam Kwong . 2023 a. Multi-projection fusion and refinement network for salient object detection in 360° omnidirectional image . IEEE Transactions on Neural Networks and Learning Systems ( 2023 ). Runmin Cong, Ke Huang, Jianjun Lei, Yao Zhao, Qingming Huang, and Sam Kwong. 2023 a. Multi-projection fusion and refinement network for salient object detection in 360° omnidirectional image. IEEE Transactions on Neural Networks and Learning Systems (2023).

5. CIR-Net: Cross-Modality Interaction and Refinement for RGB-D Salient Object Detection

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