Superpixel Transformers for Efficient Semantic Segmentation
Alex Zihao Zhu,Jieru Mei,Siyuan Qiao,Hang Yan,Yukun Zhu,Liang-Chieh Chen,Henrik Kretzschmar,Alex Zihao Zhu,Jieru Mei,Siyuan Qiao,Hang Yan,Yukun Zhu,Liang-Chieh Chen,Henrik Kretzschmar
Semantic segmentation, which aims to classify every pixel in an image, is a key task in machine perception, with many applications across robotics and autonomous driving. Due to the high dimensionality of this task, most existing approaches use local operations, such as convolutions, to generate per-pixel features. However, these methods are typically unable to effectively leverage global context ...
