HyperAI超神经
首页
资讯
最新论文
教程
数据集
百科
SOTA
LLM 模型天梯
GPU 天梯
顶会
开源项目
全站搜索
关于
中文
HyperAI超神经
Toggle sidebar
全站搜索…
⌘
K
首页
SOTA
Multi Object Tracking
Multi Object Tracking On Dancetrack
Multi Object Tracking On Dancetrack
评估指标
AssA
HOTA
IDF1
MOTA
评测结果
各个模型在此基准测试上的表现结果
Columns
模型名称
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
0 of 34 row(s) selected.
Previous
Next