Research map / Detection and segmentation / Open-set and few-shot detection
WILDTRACK: A Multi-Camera HD Dataset for Dense Unscripted Pedestrian Detection
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| use multiple camera views rather than monocular samples | ResNet-18 classifier · WILDTRACK test frames | Accuracy (%): 84.57 (1.718) -> 95 | Helped |
| use multiple camera views rather than monocular samples | ResNet-18 classifier · WILDTRACK test frames | AUC: 0.91 (0.028) -> 0.95 | Helped |
| add explicit occlusion reasoning | multi-view detection · WILDTRACK | MODA: 0.678 -> 0.741 | Helped |
| add ptrack motion-pattern post-processing | DeepOcclusion+KSP · WILDTRACK | IDF1: 73.2 -> 78.4 | Helped |
| add ptrack motion-pattern post-processing | DeepOcclusion+KSP · WILDTRACK | MOTA: 69.6 -> 72.2 | Helped |
| add ptrack motion-pattern post-processing | DeepOcclusion+KSP · WILDTRACK | FP: 1095 -> 2007 | Hurt |
Closest papers by meaning
- Generalizable Pedestrian Detection: The Elephant in the Room (CVPR 2021 · similarity 0.88)
- MixedPeds: Pedestrian Detection in Unannotated Videos Using Synthetically Generated Human-Agents for Training (AAAI 2018 · similarity 0.87)
- Person Re-Identification in the Wild (CVPR 2017 · similarity 0.87)
- MTMMC: A Large-Scale Real-World Multi-Modal Camera Tracking Benchmark (CVPR 2024 · similarity 0.86)
- Multi-View Pedestrian Occupancy Prediction with a Novel Synthetic Dataset (AAAI 2025 · similarity 0.85)
- Multi-View People Detection in Large Scenes via Supervised View-Wise Contribution Weighting (AAAI 2024 · similarity 0.85)
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