LocateAnything: Fast and High-Quality Vision-Language Grounding with Parallel Box Decoding 事件

LocateAnything: Fast and High-Quality Vision-Language Grounding with Parallel Box Decoding arXiv:2605.27365v2 Announce Type: replace Abstract: Vision-language models (VLMs) commonly formulate visual grounding and detection as a coordinate-token generation problem, serializing each 2D box into multiple 1D tokens that are learned and decoded largely independently. This token-by-token decoding mismatches the coupled structure of box geometry and creates a practical inference bottleneck due to stri