GOKULPRASANTH-M/ViMbaFormer-A-Hybrid-Vision-Mamba-Unet-Architecture-for-UAV-Semantic-Segmentation
ViMbaFormer is a hybrid semantic segmentation framework designed for high-resolution UAV imagery. It integrates Vision Transformers, Mamba State Space Models, and a U-Net–style encoder–decoder to jointly model global context and fine spatial details with linear-time complexity.
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Feb 06, 2026
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