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PPANet: Point-Wise Pyramid Attention Network for Semantic Segmentation
2021
Wireless Communications and Mobile Computing
In recent years, convolutional neural networks (CNNs) have been at the centre of the advances and progress of advanced driver assistance systems and autonomous driving. This paper presents a point-wise pyramid attention network, namely, PPANet, which employs an encoder-decoder approach for semantic segmentation. Specifically, the encoder adopts a novel squeeze nonbottleneck module as a base module to extract feature representations, where squeeze and expansion are utilized to obtain high
doi:10.1155/2021/5563875
doaj:6555263df5c84f7f988d4053ae8f5c75
fatcat:hsq2tef2mrbllo4o2geksm6ufe