6 citations · 7 across the 4 of their papers we have counts for
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cs.CV2023★ 1 cited
PolyMaX: General Dense Prediction with Mask Transformer
Xuan Yang, Liangzhe Yuan, Kimberly Wilber +8
Dense prediction tasks, such as semantic segmentation, depth estimation, and surface normal prediction, can be easily formulated as per-pixel classification (discrete outputs) or r…
cs.CV2023
Superpixel Transformers for Efficient Semantic Segmentation
Alex Zihao Zhu, Jieru Mei, Siyuan Qiao +4
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 th…