HyperAI超神经

Multiple Object Tracking On Sportsmot

评估指标

AssA
DetA
HOTA
IDF1
MOTA

评测结果

各个模型在此基准测试上的表现结果

模型名称
AssA
DetA
HOTA
IDF1
MOTA
Paper TitleRepository
DeepEIoU + GTA74.588.281.086.596.3GTA: Global Tracklet Association for Multi-Object Tracking in Sports
FairMOT34.770.249.353.586.4FairMOT: On the Fairness of Detection and Re-Identification in Multiple Object Tracking
MixSort-Byte54.878.865.774.196.2SportsMOT: A Large Multi-Object Tracking Dataset in Multiple Sports Scenes
QDTrack47.277.560.462.390.1Quasi-Dense Similarity Learning for Multiple Object Tracking
MixSort-OC62.088.574.174.496.5SportsMOT: A Large Multi-Object Tracking Dataset in Multiple Sports Scenes
MOTIP (Deformable DETR, with SportsMOT val)65.486.575.278.296.1Multiple Object Tracking as ID Prediction
DeepMoveSORT70.388.178.781.796.5Engineering an Efficient Object Tracker for Non-Linear Motion-
AED70.189.479.181.897.1Associate Everything Detected: Facilitating Tracking-by-Detection to the Unknown
MoveSORT63.787.574.676.996.7Beyond Kalman Filters: Deep Learning-Based Filters for Improved Object Tracking
Deep HM-SORT72.788.380.185.296.6Deep HM-SORT: Enhancing Multi-Object Tracking in Sports with Deep Features, Harmonic Mean, and Expansion IOU-
MambaMOT58.686.771.371.194.9MambaMOT: State-Space Model as Motion Predictor for Multi-Object Tracking-
ByteTrack52.378.564.171.495.9ByteTrack: Multi-Object Tracking by Associating Every Detection Box
MeMOTR59.183.170.071.491.5MeMOTR: Long-Term Memory-Augmented Transformer for Multi-Object Tracking
CenterTrack48.082.162.760.090.8Tracking Objects as Points
MOTIP (Deformable DETR)62.083.471.975.092.9Multiple Object Tracking as ID Prediction
Deep-EIoU67.788.277.279.896.3Iterative Scale-Up ExpansionIoU and Deep Features Association for Multi-Object Tracking in Sports-
OC-SORT61.588.573.774.096.5Observation-Centric SORT: Rethinking SORT for Robust Multi-Object Tracking
MeMOTR (Deformable-DETR)57.882.068.869.990.2MeMOTR: Long-Term Memory-Augmented Transformer for Multi-Object Tracking
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