الرئيسية الأخبار أحدث الأوراق البحثية الدروس مجموعات البيانات الموسوعة SOTA نماذج LLM لوحة الأداء GPU الفعاليات

العربية

Multiple Object Tracking On Sportsmot

المقاييس

AssA

DetA

HOTA

IDF1

MOTA

النتائج

نتائج أداء النماذج المختلفة على هذا المعيار القياسي

اسم النموذج	AssA	DetA	HOTA	IDF1	MOTA	Paper Title	Repository
DeepEIoU + GTA	74.5	88.2	81.0	86.5	96.3	GTA: Global Tracklet Association for Multi-Object Tracking in Sports	-
FairMOT	34.7	70.2	49.3	53.5	86.4	FairMOT: On the Fairness of Detection and Re-Identification in Multiple Object Tracking	-
MixSort-Byte	54.8	78.8	65.7	74.1	96.2	SportsMOT: A Large Multi-Object Tracking Dataset in Multiple Sports Scenes	-
QDTrack	47.2	77.5	60.4	62.3	90.1	Quasi-Dense Similarity Learning for Multiple Object Tracking	-
MixSort-OC	62.0	88.5	74.1	74.4	96.5	SportsMOT: A Large Multi-Object Tracking Dataset in Multiple Sports Scenes	-
MOTIP (Deformable DETR, with SportsMOT val)	65.4	86.5	75.2	78.2	96.1	Multiple Object Tracking as ID Prediction	-
DeepMoveSORT	70.3	88.1	78.7	81.7	96.5	Engineering an Efficient Object Tracker for Non-Linear Motion	-
AED	70.1	89.4	79.1	81.8	97.1	Associate Everything Detected: Facilitating Tracking-by-Detection to the Unknown	-
MoveSORT	63.7	87.5	74.6	76.9	96.7	Beyond Kalman Filters: Deep Learning-Based Filters for Improved Object Tracking	-
Deep HM-SORT	72.7	88.3	80.1	85.2	96.6	Deep HM-SORT: Enhancing Multi-Object Tracking in Sports with Deep Features, Harmonic Mean, and Expansion IOU	-
MambaMOT	58.6	86.7	71.3	71.1	94.9	MambaMOT: State-Space Model as Motion Predictor for Multi-Object Tracking	-
ByteTrack	52.3	78.5	64.1	71.4	95.9	ByteTrack: Multi-Object Tracking by Associating Every Detection Box	-
MeMOTR	59.1	83.1	70.0	71.4	91.5	MeMOTR: Long-Term Memory-Augmented Transformer for Multi-Object Tracking	-
CenterTrack	48.0	82.1	62.7	60.0	90.8	Tracking Objects as Points	-
MOTIP (Deformable DETR)	62.0	83.4	71.9	75.0	92.9	Multiple Object Tracking as ID Prediction	-
Deep-EIoU	67.7	88.2	77.2	79.8	96.3	Iterative Scale-Up ExpansionIoU and Deep Features Association for Multi-Object Tracking in Sports	-
OC-SORT	61.5	88.5	73.7	74.0	96.5	Observation-Centric SORT: Rethinking SORT for Robust Multi-Object Tracking	-
MeMOTR (Deformable-DETR)	57.8	82.0	68.8	69.9	90.2	MeMOTR: Long-Term Memory-Augmented Transformer for Multi-Object Tracking	-

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Multiple Object Tracking On Sportsmot | SOTA | HyperAI