References
- Ke Yin, Chen Dan. Image Semantic Segmentation Method Based on Improved DeepLabv3+ Network [J]. Intelligent Computer and Applications, 2025, 15(04): 17-24.
- Ren Ziyu, You Xindong, Teng Shangzhi, et al. Image Boundary Restoration Semantic Segmentation Based on DeepLabv3+[J]. Journal of Beijing Information Science and Technology (Natural Science Edition), 2024, 39(06): 17-24.
- Yuan Manman, Lu Hao. Semantic Segmentation Algorithm Integrating Lightweight and Attention Mechanisms [J]. Journal of Chongqing Technology and Business University (Natural Science Edition), 2025, 42(01): 57-63. DOI: 10.16055/j.issn.1672-058X.2025.0001.008.
- Wang Na. Research on Image Semantic Segmentation Model Based on Improved DeepLabv3+[D]. Lanzhou University of Technology, 2023.
- Li Mingyi. Research on Image Semantic Segmentation Based on Improved DeepLabV3+ Network Structure [D]. Dalian Jiaotong University, 2022.
- Liu Yongfeng. Research on Image Semantic Segmentation Method for Nighttime Road Obstacles with Attention Mechanism Integration [D]. Central South University, 2022.
- Lu Jianbo, Peng Jungui, Huo Leigang, et al. A Lightweight DeepLabV3+ Remote Sensing Image Segmentation Method [J]. Guangxi Science, 2025, 32(02): 374-385.
- Zhou Huaping, Deng Bin. DeepLabv3+ Lightweight Image Segmentation Algorithm Integrating Multi-level Features [J]. Computer Engineering and Applications, 2024, 60(16): 269-275
- Yao Yan, Hu Likun, Guo Jun. Lightweight Semantic Segmentation Algorithm Based on Improved DeepLabv3+ Network [J]. Advances in Laser and Optoelectronics, 2022, 59(04): 200-207.
- Zhang Ying. Research and Implementation of Image Semantic Segmentation Algorithm Based on Improved DeepLabV3+[D]. Heilongjiang University, 2025.
- Xin Kai. Research and Application of Image Semantic Segmentation Model Based on DeepLabV3+ [D]. Zhejiang University of Technology, 2024.
- Kong Xiangming. Research and Application Based on Improved DeepLabv3+ Image Semantic Segmentation Model [D]. Wuhan University of Light Industry, 2024.