WinARDet: Compressed Window Auto-Regression for Long-Horizon Vision-Language Grounding
MLLM-based detectors formulate vision-language grounding as autoregressive coordinate generation, yet in dense scenes, they often collapse into a box repetition loop, repeatedly emitting identical boxes until the decoding budget is exhausted.
arXiv - cs.CV (CV)2 min read