Booster-SHOT: Boosting Stacked Homography Transformations for Multiview Pedestrian Detection with Attention. (arXiv:2208.09211v1 [cs.CV])

Improving multi-view aggregation is integral for multi-view pedestrian
detection, which aims to obtain a bird's-eye-view pedestrian occupancy map from
images captured through a set of calibrated cameras. Inspired by the success of
attention modules for deep neural networks, we first propose a Homography
Attention Module (HAM) which is shown to boost the performance of existing
end-to-end multiview detection approaches by utilizing a novel channel gate and
spatial gate. Additionally, we propose Booster-SHOT, an end-to-end
convolutional approach to multiview pedestrian detection …

arxiv attention boosting cv detection homography