Dynamic Proxy Domain Generalizes the Crowd Localization by Better Binary Segmentation

arXiv:2404.13992v1 Announce Type: new
Abstract: Crowd localization targets on predicting each instance precise location within an image. Current advanced methods propose the pixel-wise binary classification to tackle the congested prediction, in which the pixel-level thresholds binarize the prediction confidence of being the pedestrian head. Since the crowd scenes suffer from extremely varying contents, counts and scales, the confidence-threshold learner is fragile and under-generalized encountering domain knowledge shift. Moreover, at the most time, the target domain is agnostic in training. Hence, …

arxiv binary cs.cv domain dynamic localization segmentation type