Point-aware Interaction and CNN-induced Refinement Network for RGB-D Salient Object Detection

Author:

Cong Runmin1ORCID,Liu Hongyu2ORCID,Zhang Chen2ORCID,Zhang Wei3ORCID,Zheng Feng4ORCID,Song Ran3ORCID,Kwong Sam5ORCID

Affiliation:

1. Beijing Jiaotong University & Shandong University, Beijing & Jinan, China

2. Beijing Jiaotong University, Beijing, China

3. Shandong University, Jinan, China

4. Southern University of Science and Technology, Shenzhen, China

5. City University of Hong Kong, Hong Kong SAR, China

Funder

Hong Kong Innovation and Technology Commission (InnoHK Project CIMDA)

Taishan Scholar Project of Shandong Province

National Natural Science Foundation of China

Project for Self-Developed Innovation Team of Jinan City

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

Hong Kong GRF-RGC General Research Fund

CAAI-Huawei MindSpore Open Fund

Publisher

ACM

Reference57 articles.

1. 3-D Convolutional Neural Networks for RGB-D Salient Object Detection and Beyond

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

3. Zuyao Chen , Qianqian Xu , Runmin Cong , and Qingming Huang . 2020 . Global Context-Aware Progressive Aggregation Network for Salient Object Detection. In Thirty-Fourth AAAI Conference on Artificial Intelligence. 10599--10606 . Zuyao Chen, Qianqian Xu, Runmin Cong, and Qingming Huang. 2020. Global Context-Aware Progressive Aggregation Network for Salient Object Detection. In Thirty-Fourth AAAI Conference on Artificial Intelligence. 10599--10606.

4. Arridhana Ciptadi , Tucker Hermans , and James M. Rehg . 2013 . An In Depth View of Saliency. In British Machine Vision Conference. 1--11 . Arridhana Ciptadi, Tucker Hermans, and James M. Rehg. 2013. An In Depth View of Saliency. In British Machine Vision Conference. 1--11.

5. Multi-Projection Fusion and Refinement Network for Salient Object Detection in 360$^{\circ }$ Omnidirectional Image

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