Laser & Optoelectronics Progress, Volume. 59, Issue 4, 0410008(2022)
Image Semantic Segmentation Based on Combination of DeepLabV3+ and Attention Mechanism
Fig. 1. Structure diagram of Xception module
Fig. 2. Structure diagram of improved DeepLabV3+ network
Fig. 3. Structure diagram of channel attention
Fig. 4. Structure diagram of spatial attention
Fig. 5. Comparison of segmentation results after adding noise. (a) Images after adding noise; (b) image labels; (c) DeepLabV3+ segmentation results after adding noise; (d) segmentation results of proposed algorithm after adding noise
Fig. 6. Loss values for different methods
Fig. 7. Comparison of segmentation results . (a) Original images; (b) image labels; (c) segmentation results of DeepLabV3 +;
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Yunfei Qiu, Jinyan Wen. Image Semantic Segmentation Based on Combination of DeepLabV3+ and Attention Mechanism[J]. Laser & Optoelectronics Progress, 2022, 59(4): 0410008
Category: Image Processing
Received: Mar. 1, 2021
Accepted: Mar. 23, 2021
Published Online: Feb. 15, 2022
The Author Email: Wen Jinyan (1004985072@qq.com)