AI RESEARCH
MPM: Mutual Pair Merging for Efficient Vision Transformers
arXiv CS.CV
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ArXi:2604.05718v1 Announce Type: new Decreasing sequence length is a common way to accelerate transformers, but prior token reduction work often targets classification and reports proxy metrics rather than end-to-end latency. For semantic segmentation, token reduction is further constrained by the need to reconstruct dense, pixel-aligned features, and on modern accelerators the overhead of computing merge maps can erase expected gains. We propose Mutual Pair Merging (MPM), a