no code implementations • 17 Jan 2023 • Junjie Zhou, Yongping Xiong, Chinwai Chiu, Fangyu Liu, Xiangyang Gong
In this paper, we propose the Size-Aware Transformer (SAT) that can tailor effective receptive fields for objects of different sizes.
Ranked #10 on Semantic Segmentation on S3DIS Area5