Multi 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
QDTrack	47.2	77.5	60.4	62.3	90.1	Quasi-Dense Similarity Learning for Multiple Object Tracking	-
ETTrack	62.1	88.8	74.3	74.5	96.8	ETTrack: Enhanced Temporal 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	-
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	-
CenterTrack	48.0	82.1	62.7	60.0	90.8	Tracking Objects as Points	-
MixSort-OC	62.0	88.5	74.1	74.4	96.5	SportsMOT: A Large Multi-Object Tracking Dataset in Multiple Sports Scenes	-
MixSort-Byte	54.8	78.8	65.7	74.1	96.2	SportsMOT: A Large Multi-Object Tracking Dataset in Multiple Sports Scenes	-
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	-
TransTrack	57.5	82.7	68.9	71.5	92.6	TransTrack: Multiple Object Tracking with Transformer	-
MeMOTR	59.1	83.1	70.0	71.4	91.5	MeMOTR: Long-Term Memory-Augmented Transformer for Multi-Object Tracking	-
FairMOT	34.7	70.2	49.3	53.5	86.4	FairMOT: On the Fairness of Detection and Re-Identification in Multiple Object Tracking	-
GTR	45.9	64.8	54.5	55.8	67.9	Global Tracking Transformers	-
MambaMOT	58.6	86.7	71.3	71.1	94.9	MambaMOT: State-Space Model as Motion Predictor for Multi-Object Tracking	-
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-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	-
DeepEIoU + GTA	74.5	88.2	81.0	86.5	96.3	GTA: Global Tracklet Association for Multi-Object Tracking in Sports	-
MotionTrack	61.7	88.8	74.0	74.0	96.6	MotionTrack: Learning Motion Predictor for Multiple Object Tracking	-

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