Efficiently identify people in image in one stage without separate detection step
Efficiently identify people in image in one stage without separate detection step
Efficient Person Search: An Anchor-Free Approach
arXiv paper abstract https://arxiv.org/abs/2109.00211v1
arXiv PDF paper https://arxiv.org/pdf/2109.00211v1.pdf
Person search aims to simultaneously localize and identify a query person from realistic, uncropped images. ... models typically add a re-id branch upon two-stage detectors like Faster R-CNN.
... but ... introduces high computational overhead due to dense object anchors.
... First, we select an anchor-free detector (i.e., FCOS) as the prototype of our framework. ... exhibits significantly higher efficiency
... propose an aligned feature aggregation module to generate more discriminative and robust feature embeddings.
... name our model as Feature-Aligned Person Search Network (AlignPS).
... augment AlignPS with an ROI-Align head, which significantly improves the robustness
... framework achieves state-of-the-art or competitive performance, while displaying higher efficiency. ...
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