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Multi-Object Tracking on BDD100K (val)

58.8mIDF1SUSHI
24.58433.46742.3551.233Jun 11, 2020Feb 8, 2021Oct 9, 2021Jun 9, 2022Feb 6, 2023Oct 7, 2023Jun 6, 2024

Evaluation results

MethodLinks
SUSHI2022.1258.845.868.475.6——8,556—————————————
UNINEXT-HSplit=val, Backbone=ViT-H2023.0356.744.267.169.9——10,222—————————————
UNINEXT-Hsupervision_type=Fully-supervised, evaluation_protocol=In-domain, provided_detections=true2024.0656.744.2—69.9————————————————
MOTRv2YOLOX proposals=true2022.1156.543.665.672.7————————————————
MOTRv2Venue=CVPR 232024.0656.543.665.6————————————72.7————
MOTRv2Backbone=YOLOX-X+ResNet-50, Pre-train=BDD100K+COCO, Objectness threshold=0.42023.1156.543.6——————————————————
GeneralTrack2024.0656.246.468.872.7——8,49611,8302,035—————46.963.1————
Ours-Deticsupervision_type=Self-supervised, evaluation_protocol=Zero-shot, provided_detections=true2024.0655.844.6—71.3—————54.4—52.9————————
Ours-Deticsupervision=Self-supervised, protocol=zero-shot, backbone=Swin-B2024.0655.844.6—71.3—————54.4—52.9————————
GHOST2022.0655.644.968.170.9——————————45.761.7————
GHOSTVenue=CVPR 232024.0655.644.968.170.9——————————45.761.7————
Ours-Grounding-DINOsupervision_type=Self-supervised, evaluation_protocol=Zero-shot, provided_detections=true2024.0655.644.5—71.7—————54.5—52.7————————
Ours-SAM-Bsupervision_type=Self-supervised, evaluation_protocol=Zero-shot, provided_detections=true2024.0655.644.1—71.6—————54—52.6————————
Ours-Grounding-DINOsupervision=Self-supervised, protocol=zero-shot, backbone=Swin-B2024.0655.644.5—71.7—————54.5—52.7————————
Ours-SAM-B+supervision=Self-supervised, protocol=zero-shot, backbone=SAM-ViT-B2024.0655.644.1—71.6—————54—52.6————————
Ours-SAM-Hsupervision_type=Self-supervised, evaluation_protocol=Zero-shot, provided_detections=true2024.0655.344.5—71.7—————54.2—51.9————————
Ours-SAM-Hsupervision=Self-supervised, protocol=zero-shot, backbone=SAM-ViT-H2024.0655.344.5—71.7—————54.2—51.9————————
UNINEXT-LSplit=val, Backbone=ConvNeXt-L2023.0354.941.864.668.7——9,134—————————————
ByteTrack2021.1054.845.569.170.492,80534,9989,1409,6263,005———————————
ByteTrack2022.1254.845.569.170.4——9,140—————————————
ByteTrackDetector=YOLOX-X, Base model=Modified CSP, Pre-trained weights=COCO2022.1054.845.569.170.492,80534,9989,1409,6263,005———————————
ByteTrackVenue=ECCV'222024.0654.845.269.170.4——9,1409,6263,005—————45.361.3————
ByteTracksupervision_type=Fully-supervised, evaluation_protocol=In-domain, provided_detections=true2024.0654.845.5—70.4—————55.7—51.5————————
ByteTracksupervision=Fully-supervised, protocol=in-domain2024.0654.845.5—70.4—————55.7—51.5————————
Ours-R50+supervision=Self-supervised, protocol=zero-shot, backbone=ResNet-502024.0654.844.2—71.3—————54—51.7————————
ByteTrack2022.0654.645.268.770.2——————————45.461.6————
QDTrackDetector=YOLOX-X, Base model=Modified CSP, Pre-trained weights=COCO2022.1054.342.168.273.383,39548,7988,47810,9252,272———————————
UnicornSplit=val2022.075441.266.671.395,45441,64810,87610,2962,505————41.4——————
Unicorn2022.125441.266.671.3——10,876—————————————
Unicorn2022.115441.266.671.3————————————————
UnicornSplit=val2023.035441.266.671.3——10,876—————————————
UnicornVenue=ECCV'222024.065441.266.6———10,87610,2962,505——————71.3————
MOTRsupervision_type=Fully-supervised, evaluation_protocol=In-domain, provided_detections=false2024.065432.3—65.8————————————————
Unicornsupervision_type=Fully-supervised, evaluation_protocol=In-domain, provided_detections=false2024.065441.2—71.3————————————————
TETer2022.0753.339.1———————50.8347.1652.8952.44———————
TETer2022.1253.339.1——————————————————
TETer2022.1153.339.1——————————————————
TETerDetector=FRCNN, Base model=R50-FPN2022.1053.339.1——————————————————
TETerVenue=ECCV'222024.0653.339.1——————————————————
TETersupervision_type=Fully-supervised, evaluation_protocol=In-domain, provided_detections=false2024.0653.339.1—71.1—————50.8—52.9————————
QDTrackDetector=FRCNN, Base model=R50-FPN2022.1052.937.765.772.7104,86141,3555,6409,6492,874———————————
ContrasTRBackbone=Swin-L, Pre-train=BDD100K, Objectness threshold=0.42023.1152.941.7————6,363———————44.4—————
QDTrack2022.0751.636.6———————47.8445.8648.4749.2———————
QDTrack2022.0651.536.363.771.4——————————41.760.9————
QDTrack2021.1050.836.663.571.5108,61446,6216,2629,4813,034———————————
QDTrackSplit=val2022.0750.836.663.571.5108,61446,6216,2629,4813,034————32.6——————
QDTrack2022.1250.836.663.571.5——6,262—————————————
QDTrack2022.1150.836.663.571.5————————————————
QDTrackSplit=val2023.0350.836.663.571.5——6,262—————————————
QDTrackVenue=CVPR'212024.0650.836.663.5———6,2629,4813,034——————71.5————
QDTracksupervision_type=Fully-supervised, evaluation_protocol=In-domain, provided_detections=false2024.0650.836.6—71.5—————47.8—48.5————————
QDTrackSplit=val2020.0650.836.663.571.5108,61446,6216,2629,4813,034————32.6——————
DeepSORT2022.0749.335.2———————48.0346.3646.6951.04———————
DeepSORTDetector=FRCNN, Base model=R50-FPN2022.1049.335.2——————————————————
ContrasTRBackbone=ResNet-50, Pre-train=BDD100K, Objectness threshold=0.42023.1149.236.7————6,695———————40.8—————
MOTR*YOLOX proposals=false2022.1148.235.559.668.9————————————————
MOTRv2Backbone=ResNet-50, Pre-train=COCO, Objectness threshold=0.42023.1148.235.5——————————————————
ContrasTR w/o CPTBackbone=ResNet-50, Pre-train=COCO, Objectness threshold=0.42023.1148.136.4————6,067———————40.2—————
MOTR2022.1144.832.356.265.8————————————————
MOTRVenue=ECCV'222024.0644.832.356.2————————————65.8————
Yu et al.2021.1044.525.956.966.8122,40652,3728,3158,3963,795———————————
Yu et al.Split=val2022.0744.525.956.966.8122,40652,3728,3158,3963,795————28.1——————
Yu et al.2022.1244.525.956.966.8——8,315—————————————
Yu et al.2022.1144.525.956.966.8————————————————
Yu et al.Split=val2023.0344.525.956.966.8——8,315—————————————
Yu et alDetector=FRCNN, Base model=DLA-342022.1044.525.956.966.8122,40652,3728,3158,3963,795———————————
Yu et al.Split=val2020.0644.525.956.966.8122,40652,3728,3158,3963,795————28.1——————
MOTR2022.1243.532——————————————————
MOTRBackbone=ResNet-50, Pre-train=COCO, Objectness threshold=0.42023.1143.532————3,493—————————————
Yu et al.2022.0625.9——56.9——————————44.566.8————
CO-MOT2023.05—————————52.838.756.263.6———————
CO-MOT2023.05—————————52.838.756.263.6———————
COVTrackinference_mode=zero-shot, training_dataset=TAO2026.03—————————45.844.139.453.9———————
COVTrack++inference_mode=zero-shot, training_dataset=TAO2026.03—————————46.745.740.753.8———————
DeepSORT2023.05—————————4846.446.751———————
DeepSORT2023.05—————————4846.446.751———————
DeepSORT2023.07————————————————4846.446.7—
MASAPublication=CVPR2024, Classification Setting=8 classes2025.04———71.7————————————————
MeMOTR2023.07——————————————40.4—53.638.156.752.6
MOTR2022.06——32————————————43.5————
MOTR2023.07——————————————37—50.735.85147.3
MOTRv22023.05—————————54.949.551.963.1———————
MOTRv22023.05—————————54.949.551.963.1———————
MOTRv2Publication=CVPR2022, Classification Setting=8 classes2025.04——65.672.7————————————————
OVTRinference_mode=zero-shot, training_dataset=TAO2026.03—————————43.14237.150.1———————
OVTrackTraining Data=LVIS, Logit masking=false2023.04—————————42.54136.749.7———————
OVTrackinference_mode=zero-shot, training_dataset=TAO2026.03—————————42.54136.749.7———————
QDtrackPublication=TPAMI2023, Classification Setting=8 classes2025.04——63.571.5——6,262—————————————
QDTrackTraining Data=LVIS, TAO, Logit masking=true2023.04—————————35.638.128.540.2———————
QDTrackTraining Data=LVIS, TAO, Logit masking=false2023.04—————————3225.927.842.4———————
QDTrack2023.05—————————47.845.848.549.2———————
QDTrack2023.05—————————47.845.848.549.2———————
QDTrack2023.07————————————————47.845.948.5—
QDTrackinference_mode=zero-shot, training_dataset=TAO2026.03—————————3225.927.842.4———————
SAM2MOTClassification Setting=8 classes, Backbone=Co-DINO-L, Fine-tuning status=no fine-tuning2025.04——57.570.8——5,587—————————————
SAM2MOTClassification Setting=8 classes, Backbone=Grounding-DINO-L, Fine-tuning status=no fine-tuning2025.04——44.163.6——5,184—————————————
SAM2MOTClassification Setting=3 classes, Backbone=Co-DINO-L, Fine-tuning status=no fine-tuning2025.04——6373.7——5,755—————————————
SAM2MOTClassification Setting=3 classes, Backbone=Grounding-DINO-L, Fine-tuning status=no fine-tuning2025.04——5871——5,464—————————————
TETerTraining Data=LVIS, TAO, Logit masking=true2023.04—————————36.136.431.940.2———————
TETerTraining Data=LVIS, TAO, Logit masking=false2023.04—————————33.224.531.843.4———————