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홈
SOTA
Multi Object Tracking
Multi Object Tracking On Dancetrack
Multi Object Tracking On Dancetrack
평가 지표
AssA
HOTA
IDF1
MOTA
평가 결과
이 벤치마크에서 각 모델의 성능 결과
Columns
모델 이름
AssA
HOTA
IDF1
MOTA
Paper Title
Repository
OC-SORT
38.0
55.1
54.2
89.4
Observation-Centric SORT: Rethinking SORT for Robust Multi-Object Tracking
MOTIP (DAB-Deformable DETR)
60.8
70.0
75.1
91.0
Multiple Object Tracking as ID Prediction
FairMOT
23.8
39.7
40.8
82.2
FairMOT: On the Fairness of Detection and Re-Identification in Multiple Object Tracking
MoveSORT
38.7
56.1
56.0
91.8
Beyond Kalman Filters: Deep Learning-Based Filters for Improved Object Tracking
C-TWiX
47.2
62.1
63.6
91.4
Learning Data Association for Multi-Object Tracking using Only Coordinates
MOTRv2
64.4
73.4
76.0
92.1
MOTRv2: Bootstrapping End-to-End Multi-Object Tracking by Pretrained Object Detectors
FCG
29.9
48.7
46.5
89.9
Multiple Object Tracking from appearance by hierarchically clustering tracklets
Hybrid-SORT
47.4
62.2
63.0
91.6
Hybrid-SORT: Weak Cues Matter for Online Multi-Object Tracking
CO-MOT
58.9
69.4
71.9
91.2
Bridging the Gap Between End-to-end and Non-End-to-end Multi-Object Tracking
MotionTrack
41.7
58.2
58.6
91.3
MotionTrack: Learning Motion Predictor for Multiple Object Tracking
-
ByteTrack
31.5
47.1
51.9
88.2
ByteTrack: Multi-Object Tracking by Associating Every Detection Box
TransTrack
27.5
45.7
44.8
83.0
TransTrack: Multiple Object Tracking with Transformer
MeMOTR (Deformable DETR)
52.3
63.4
65.5
85.4
MeMOTR: Long-Term Memory-Augmented Transformer for Multi-Object Tracking
MOTIP (Deformable DETR, with CrowdHuman)
62.8
71.4
76.3
91.6
Multiple Object Tracking as ID Prediction
UCMCTrack
-
63.6
65.0
-
UCMCTrack: Multi-Object Tracking with Uniform Camera Motion Compensation
MeMOTR
58.4
68.5
71.2
89.9
MeMOTR: Long-Term Memory-Augmented Transformer for Multi-Object Tracking
MambaMOT
39.0
56.1
54.9
90.3
MambaMOT: State-Space Model as Motion Predictor for Multi-Object Tracking
-
CenterTrack
22.6
41.8
35.7
86.8
Tracking Objects as Points
DeepMoveSORT
48.6
63.0
65.0
92.6
Engineering an Efficient Object Tracker for Non-Linear Motion
-
Deep OC-SORT
45.8
61.3
61.5
92.3
Deep OC-SORT: Multi-Pedestrian Tracking by Adaptive Re-Identification
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