HIGHLIGHTS
- who: Dongli Wang et al. from the School of Automation and Electronic Information, Xiangtan University, Xiangtan, China have published the Article: Multiple-Attention Mechanism Network for Semantic Segmentation, in the Journal: Sensors 2022, 22, 4477. of /2022/
- what: The authors propose a network (MANet) for semantic segmentation in a very effective and efficient way. To solve the above problems, the authors propose a lightweight and effective positional attention module; the motivation is to replace the traditional single dense connected graph with two sparse connected graphs, unlike the existing network, which requires each pixel feature to . . .
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