HyperAI超神経

Multiple Object Tracking On Kitti Test Online

評価指標

HOTA
IDSW
MOTA

評価結果

このベンチマークにおける各モデルのパフォーマンス結果

比較表
モデル名HOTAIDSWMOTA
interacting-multiple-model-based-joint79.2117789.8
eagermot-3d-multi-object-tracking-via-sensor74.3923987.82
robust-multi-modality-multi-object-tracking62.05-84.77
モデル 481.062290.29
lego-learning-and-graph-optimized-modular80.7521490.61
near-online-multi-target-tracking-with--78.15
monocular-quasi-dense-3d-object-tracking72.77 -86.41
mono-camera-3d-multi-object-tracking-using--80.39
jrmot-a-real-time-3d-multi-object-tracker-and69.61 -85.70
robust-multi-modality-multi-object-tracking--84.77
tracking-objects-as-points73.02-89.44
learning-to-track-online-multi-object--76.59
combined-image-and-world-space-tracking-in--75.39
mctrack-a-unified-3d-multi-object-tracking81.076489.82
ucmctrack-multi-object-tracking-with-uniform77.1-90.4
near-online-multi-target-tracking-with--75.20
モデル 1780.903778.46
learning-local-feature-descriptors-for--90.03
online-multi-object-tracking-via-structural--75.58
end-to-end-learning-of-multi-sensor-3d--76.15
beyond-pixels-leveraging-geometry-and-shape--84.24
deft-detection-embeddings-for-tracking74.23 -88.95
モデル 2377.318486,29
joint-monocular-3d-vehicle-detection-and--84.52
observation-centric-sort-rethinking-sort-for76.525090.3
joint-monocular-3d-vehicle-detection-and--84.52
mots-multi-object-tracking-and-segmentation--84.83
multi-class-multi-object-tracking-using--78.90
learning-data-association-for-multi-object77.5838189.68
a-baseline-for-3d-multi-object-tracking69.99 -83.84
virtual-sparse-convolution-for-multimodal-3d79.920189.1
robmot-robust-3d-multi-object-tracking-by81.76791.02
followme-efficient-online-min-cost-flow--72.69