Perceptual loss guided Generative adversarial network for saliency detection

Author:

Cai Xiaoxu,Wang Gaige,Lou Jianwen,Jian Muwei,Dong Junyu,Chen Rung-Ching,Stevens Brett,Yu HuiORCID

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Computer Science Applications,Theoretical Computer Science,Control and Systems Engineering,Software

Reference49 articles.

1. A Thorough benchmark and a new model for light field saliency detection;Gao;IEEE Transactions on Pattern Analysis and Machine Intelligence,2023

2. Y. Wang, W. Zhang, L. Wang, T. Liu, and H. Lu. Multi-source uncertainty mining for deep unsupervised saliency detection, in: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022, pp. 11727–11736.

3. Global contrast based salient region detection;Cheng;IEEE Transactions on Pattern Analysis and Machine Intelligence,2015

4. Towards reliable object representation via sparse directional patches and spatial center cues;Jian;Fundamental Research,2023

5. Hierarchical contour closure-based holistic salient object detection;Liu;IEEE Transactions on Image Processing,2017

Cited by 2 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. Robust detection and refinement of saliency identification;Scientific Reports;2024-05-14

2. Enhanced Loss Function for the Design of Image Transform Models;2023 International Symposium on Fundamentals of Electrical Engineering (ISFEE);2023-11-16

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