Dec 8, 2022 · We design a supervision target reassignment strategy for training to reduce ranking inconsistency and propose an anchor pyramid scheme to adaptively determine ...

Apr 29, 2024 · The AAG module adaptively generates anchors based on estimated crowd density in local regions to alleviate the anchor deficiency or excess ...

Abstract—Crowd localization aims to predict the positions of humans in images of crowded scenes. While existing methods have made.

Dec 8, 2022 · The AAG module adaptively generates anchors based on estimated crowd density in local regions to alleviate the anchor deficiency or excess ...

May 2, 2024 · The AAG module adaptively generates anchors based on estimated crowd density in local regions to alleviate the anchor deficiency or excess ...

Consistency-Aware Anchor Pyramid Network for Crowd Localization · no code ... Crowd localization aims to predict the spatial position of humans in a crowd ...

Consistency-Aware Anchor Pyramid Network for Crowd Localization · no code ... Crowd localization aims to predict the spatial position of humans in a crowd ...

Jul 6, 2024 · Consistency-Aware Anchor Pyramid Network for Crowd Localization ... Referring Expression Object Segmentation with Caption-Aware Consistency

Xinyan Liu, Guorong Li*, Yuankai Qi, Zhenjun Han, Anton van den Hengel, Nicu Sebe, Ming-Hsuan Yang, Qingming Huang*, “Consistency-Aware Anchor Pyramid ...

An end-to-end and straightforward framework for crowd localization, named Independent Instance Map segmentation (IIM), which outperforms the-state-of-the-art ...