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Multiple Object Tracking
벤치마크
Multiple Object Tracking on BDD100K test
15개 결과 ·
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mMOTA
26.3
30.43
34.55
38.67
42.8
2018-05
2026-09
Yu et al. — 26.3 (2018-05-12)
Yu et al. — 26.3 (2018-05-12)
Yu et al. — 26.3 (2018-05-12)
ByteTrack — 40.1 (2021-10-13)
ByteTrack — 40.1 (2021-10-13)
ByteTrack — 40.1 (2021-10-13)
QDtrack — 35.6 (2022-10-12)
QDtrack — 35.6 (2022-10-12)
QDtrack — 35.6 (2022-10-12)
SUSHI — 40.2 (2022-12-06)
SUSHI — 40.2 (2022-12-06)
SUSHI — 40.2 (2022-12-06)
ContrasTR — 42.8 (2023-11-14)
ContrasTR — 42.8 (2023-11-14)
ContrasTR — 42.8 (2023-11-14)
Yu et al. — 26.3 (2018-05-12)
ByteTrack — 40.1 (2021-10-13)
SUSHI — 40.2 (2022-12-06)
ContrasTR — 42.8 (2023-11-14)
2018-05-12 — Yu et al.: mMOTA 26.3
2021-10-13 — ByteTrack: mMOTA 40.1
2022-12-06 — SUSHI: mMOTA 40.2
2023-11-14 — ContrasTR: mMOTA 42.8
Rank
Model
mMOTA
mHOTA
mIDF1
Paper
Code
Year
1
ContrasTR
42.8
46.1
56.5
Contrastive Learning for Multi-Object Tracking with Transformers
pfdp0/ContrasTR
2023
2
SUSHI
40.2
48.2
60.0
Unifying Short and Long-Term Tracking with Graph Hierarchies
dvl-tum/SUSHI
2022
3
ByteTrack
40.1
–
55.8
ByteTrack: Multi-Object Tracking by Associating Every Detection Box
PaddlePaddle/PaddleDetection
·
mikel-brostrom/boxmot
·
ifzhang/ByteTrack
·
+7
2021
4
QDtrack
35.6
41.8
52.3
QDTrack: Quasi-Dense Similarity Learning for Appearance-Only Multiple Object Tracking
SysCV/qdtrack
·
ethvis/qd-track
2022
5
Yu et al.
26.3
–
44.7
BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning
bdd100k/bdd100k
·
SysCV/bdd100k-models
·
map-learning/tl2la
·
+1
2018
6
ContrasTR
42.8
46.1
56.5
Contrastive Learning for Multi-Object Tracking with Transformers
pfdp0/ContrasTR
2023
7
SUSHI
40.2
48.2
60.0
Unifying Short and Long-Term Tracking with Graph Hierarchies
dvl-tum/SUSHI
2022
8
ByteTrack
40.1
–
55.8
ByteTrack: Multi-Object Tracking by Associating Every Detection Box
PaddlePaddle/PaddleDetection
·
mikel-brostrom/boxmot
·
ifzhang/ByteTrack
·
+7
2021
9
QDtrack
35.6
41.8
52.3
QDTrack: Quasi-Dense Similarity Learning for Appearance-Only Multiple Object Tracking
SysCV/qdtrack
·
ethvis/qd-track
2022
10
Yu et al.
26.3
–
44.7
BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning
bdd100k/bdd100k
·
SysCV/bdd100k-models
·
map-learning/tl2la
·
+1
2018
11
ContrasTR
42.8
46.1
56.5
Contrastive Learning for Multi-Object Tracking with Transformers
pfdp0/ContrasTR
2023
12
SUSHI
40.2
48.2
60.0
Unifying Short and Long-Term Tracking with Graph Hierarchies
dvl-tum/SUSHI
2022
13
ByteTrack
40.1
–
55.8
ByteTrack: Multi-Object Tracking by Associating Every Detection Box
PaddlePaddle/PaddleDetection
·
mikel-brostrom/boxmot
·
ifzhang/ByteTrack
·
+7
2021
14
QDtrack
35.6
41.8
52.3
QDTrack: Quasi-Dense Similarity Learning for Appearance-Only Multiple Object Tracking
SysCV/qdtrack
·
ethvis/qd-track
2022
15
Yu et al.
26.3
–
44.7
BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning
bdd100k/bdd100k
·
SysCV/bdd100k-models
·
map-learning/tl2la
·
+1
2018
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