SegRWKV: Fast and Accurate Biomedical Image Segmentation via a Receptance-Weighted Key-Value Network
SegRWKV, a hybrid architecture that integrates pretrained Vision-RWKV modules in the encoder for efficient global dependency modeling, and a PixelRefinement module in the decoder to improve feature reconstruction and multi-scale alignment, is proposed, highlighting SegRWKV’s superior ability to balance accuracy, efficiency, and scalability.