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.