mlsanityData to 7 Oct 2026

Booster-SHOT: Boosting Stacked Homography Transformations for Multiview Pedestrian Detection with Attention

arXiv 2208.09211 ↗First posted 19 Aug 2022cs.CVcited by 5

Not on the map. Why?

Abstract (arXiv)

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 incorporating our proposed HAM as well as elements from previous approaches such as view-coherent augmentation or stacked homography transformations. Booster-SHOT achieves 92.9% and 94.2% for MODA on Wildtrack and MultiviewX respectively, outperforming the state-of-the-art by 1.4% on Wildtrack and 0.5% on MultiviewX, achieving state-of-the-art performance overall for standard evaluation metrics used in multi-view pedestrian detection.

Key facts. Cited by 5 papers in the map (data through 7 Oct 2026). Builds on 36 of its 53 references that are in the map. First posted on arXiv 19 Aug 2022.

Builds on

36 of 53 references.

References · 36

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24 more
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Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2023: 1; 2024: 0; 2025: 3; 2026: 1.

5 papers.

  1. 2023Learning to Select Camera Views: Efficient Multiview Understanding at Few Glancescited by 3
  2. 2025MSMVD: Exploiting Multi-scale Image Features via Multi-scale BEV Features for Multi-view Pedestrian Detectioncited by 1
  3. 2025ATLASFusion: Aggregation Tracking with Location-Aware Sparse Fusion for Robust Spatio-Temporal Multi-View Pedestrian Trackingcited by 1
  4. 2025Unsupervised Multi-View Visual Anomaly Detection via Progressive Homography-Guided Alignmentcited by 1
  5. 2026MV2GF: Multi-view Pedestrian Detection with a Visual Geometric Foundation Modelcited by 0