Tensor-based multi-feature affinity graph learning for natural image segmentation-Reference-Cited by-同舟云学术

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Tensor-based multi-feature affinity graph learning for natural image segmentation

Published:2023-02-12 Issue:15 Volume:35 Page:10997-11012
ISSN:0941-0643
Container-title:Neural Computing and Applications
language:en
Short-container-title:Neural Comput & Applic

Author:

Wang Xiao,Zhang Xiaoqian,Li Jinghao,Zhao Shuai,Sun Huaijiang

Funder

National Natural Science Foundation of China

Natural Science Foundation of Sichuan Province

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Link

https://link.springer.com/content/pdf/10.1007/s00521-023-08279-5.pdf

Reference53 articles.

1. Cheng Y, Li B (2021) Image segmentation technology and its application in digital image processing. In: 2021 IEEE Asia-Pacific conference on image processing, electronics and computers (IPEC)

2. Das A, Dhal KG, Ray S, Gálvez J (2022) Histogram-based fast and robust image clustering using stochastic fractal search and morphological reconstruction. Neural Comput Appl 34(6):4531–4554

3. Merényi E, Taylor J (2020) Empowering graph segmentation methods with soms and conn similarity for clustering large and complex data. Neural Comput Appl 32(24):18161–18178

4. Zhang G, Ge Y, Dong Z, Hao W, Yuhui Z, Chen S (2021) Deep high-resolution representation learning for cross-resolution person re-identification. IEEE Trans Image Process 30:8913–8925

5. Zhang G, Luo Z, Chen Y, Zheng Y, Lin W (2022) Illumination unification for person re-identification. IEEE Trans Circuits Syst Video Technol 32(10):6766–6777

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