SCFusion reaches 95.9% IDF1 on WildTrack and 89.2% MODP on MultiviewX by combining sparse BEV projection, density-aware weighting, and a per-view consistency loss.
Mutr3d: A multi-camera tracking framework via 3d-to-2d queries.2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), pages 4536–4545, 2022
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Sparse BEV Fusion with Self-View Consistency for Multi-View Detection and Tracking
SCFusion reaches 95.9% IDF1 on WildTrack and 89.2% MODP on MultiviewX by combining sparse BEV projection, density-aware weighting, and a per-view consistency loss.