Weave Mamba Fusion: Global Cross-Scale Interaction for Lightweight Face Detection

Excerpt

arXiv:2610.05865v1 Announce Type: cross Abstract: Feature pyramid methods, from FPN to BiFPN, have achieved strong performance in face detection by fusing multi-scale features. However, detecting faces under unconstrained conditions, such as small scale, occlusion, and extreme pose, remains difficult, as it requires global cross-scale dependencies that local fusion cannot model. State space models such as Mamba provide global context with linear complexity by scanning features as a sequence, and