AINeutralarXiv – CS AI · Mar 164/10
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Spatio-Semantic Expert Routing Architecture with Mixture-of-Experts for Referring Image Segmentation
Researchers propose SERA, a new architecture for referring image segmentation that uses mixture-of-experts and expression-aware routing to improve pixel-level mask generation from natural language descriptions. The system introduces lightweight expert refinement stages and parameter-efficient tuning that updates less than 1% of backbone parameters while achieving superior performance on spatial localization and boundary delineation tasks.