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| Auteurs principaux: | , , , , |
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| Format: | Preprint |
| Publié: |
2024
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| Sujets: | |
| Accès en ligne: | https://arxiv.org/abs/2406.19703 |
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| _version_ | 1866913407154782208 |
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| author | Tong, Lihan Li, Weijia Yang, Qingxia Chen, Liyuan Chen, Peng |
| author_facet | Tong, Lihan Li, Weijia Yang, Qingxia Chen, Liyuan Chen, Peng |
| contents | We present Ksformer, utilizing Multi-scale Key-select Routing Attention (MKRA) for intelligent selection of key areas through multi-channel, multi-scale windows with a top-k operator, and Lightweight Frequency Processing Module (LFPM) to enhance high-frequency features, outperforming other dehazing methods in tests. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2406_19703 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Vision Transformer with Key-select Routing Attention for Single Image Dehazing Tong, Lihan Li, Weijia Yang, Qingxia Chen, Liyuan Chen, Peng Computer Vision and Pattern Recognition 68U10(Primary) I.4 We present Ksformer, utilizing Multi-scale Key-select Routing Attention (MKRA) for intelligent selection of key areas through multi-channel, multi-scale windows with a top-k operator, and Lightweight Frequency Processing Module (LFPM) to enhance high-frequency features, outperforming other dehazing methods in tests. |
| title | Vision Transformer with Key-select Routing Attention for Single Image Dehazing |
| topic | Computer Vision and Pattern Recognition 68U10(Primary) I.4 |
| url | https://arxiv.org/abs/2406.19703 |