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Low-Resolution Self-Attention for Semantic Segmentation

Semantic segmentation tasks naturally require high-resolution information for pixel-wise segmentation and global context information for class prediction.

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Cite this as

Yu-Huan Wu, Shi-Chen Zhang, Yun Liu, Le Zhang, Xin Zhan, Daquan Zhou, Jiashi Feng, Ming-Ming Cheng, Liangli Zhen (2024). Dataset: Low-Resolution Self-Attention for Semantic Segmentation. https://doi.org/10.57702/znjcgqn3

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Additional Info

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Created December 2, 2024
Last update December 2, 2024
Author Yu-Huan Wu
More Authors
Shi-Chen Zhang
Yun Liu
Le Zhang
Xin Zhan
Daquan Zhou
Jiashi Feng
Ming-Ming Cheng
Liangli Zhen
Homepage https://arxiv.org/abs/2106.09543