Vision Transformer with Key-select Routing Attention for Single Image Dehazing
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Abstract (arXiv)
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.
Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 19 of its 32 references that are in the map. First posted on arXiv 28 Jun 2024.
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19 of 32 references.
References · 19
- 2021Swin Transformer: Hierarchical Vision Transformer using Shifted Windowscited by 12,082
- 2021SwinIR: Image Restoration Using Swin Transformercited by 1,869
- 2021Restormer: Efficient Transformer for High-Resolution Image Restorationcited by 1,618
- 2021MUSIQ: Multi-scale Image Quality Transformercited by 1,058
- 2020Pre-Trained Image Processing Transformercited by 891
- 2021Uformer: A General U-Shaped Transformer for Image Restorationcited by 864
- 2018Image Transformercited by 770
- 2019Object Detection in 20 Years: A Surveycited by 528
- 2017Benchmarking Single Image Dehazing and Beyondcited by 445
- 2019FFA-Net: Feature Fusion Attention Network for Single Image Dehazingcited by 307
- 2022MAXIM: Multi-Axis MLP for Image Processingcited by 301
- 2020Multi-Scale Boosted Dehazing Network with Dense Feature Fusioncited by 229
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- 2019GridDehazeNet: Attention-Based Multi-Scale Network for Image Dehazingcited by 227
- 2021Contrastive Learning for Compact Single Image Dehazingcited by 219
- 2022Deep Image Deblurring: A Surveycited by 94
- 2023MB-TaylorFormer: Multi-branch Efficient Transformer Expanded by Taylor Formula for Image Dehazingcited by 81
- 2021From Synthetic to Real: Image Dehazing Collaborating with Unlabeled Real Datacited by 68
- 2021Perceiving and Modeling Density is All You Need for Image Dehazingcited by 30
- 2021SDWNet: A Straight Dilated Network with Wavelet Transformation for Image Deblurringcited by 26
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