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Segment scene 2x faster using convolution, RWKV, and multiscale tokens with RWKV-SAM

Segment scene 2x faster using convolution, RWKV, and multiscale tokens with RWKV-SAM


Mamba or RWKV: Exploring High-Quality and High-Efficiency Segment Anything Model



Transformer-based segmentation methods face the challenge of efficient inference when dealing with high-resolution images.


Recently, several linear attention architectures, such as Mamba and RWKV, have attracted much attention as they can process long sequences efficiently.


... design a mixed backbone that contains convolution and RWKV operation, which achieves the best for both accuracy and efficiency.


... design an efficient decoder to utilize the multiscale tokens to obtain high-quality masks.


... denote ... method as RWKV-SAM, a simple, effective, fast baseline for SAM-like models.


... RWKV-SAM ... more than 2x speedup and ... better segmentation ... outperforms recent vision Mamba ... with better classification and semantic segmentation results ...



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