arXiv:2406.19703
Vision Transformer with Key-select Routing Attention for Single Image Dehazing
원문 초록
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.
함께 살펴볼 논문
공통 태그를 근거로 연결했습니다. 실제 인용 관계나 논문의 우수성을 뜻하지 않습니다.
Fine-Tuning Adversarially-Robust Transformers for Single-Image Dehazing
MaIR: A Locality- and Continuity-Preserving Mamba for Image Restoration
Deep Variational Bayesian Modeling of Haze Degradation Process
HazeSpace2M: A Dataset for Haze Aware Single Image Dehazing
Scaling Up Single Image Dehazing Algorithm by Cross-Data Vision Alignment for Richer Representation Learning and Beyond
HazeCLIP: Towards Language Guided Real-World Image Dehazing
토론
이 논문과 연결된 포럼 글이 아직 없습니다.