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

العربية

Visual Object Tracking On Otb 2015

المقاييس

AUC

النتائج

نتائج أداء النماذج المختلفة على هذا المعيار القياسي

اسم النموذج	AUC	Paper Title	Repository
SA-Siam	0.657	A Twofold Siamese Network for Real-Time Object Tracking	-
KeepTrack	0.709	Learning Target Candidate Association to Keep Track of What Not to Track	-
SeqTrack-L384	0.683	Unified Sequence-to-Sequence Learning for Single- and Multi-Modal Visual Object Tracking	-
SiamVGG	0.654	SiamVGG: Visual Tracking using Deeper Siamese Networks	-
ODTrack-B	0.723	ODTrack: Online Dense Temporal Token Learning for Visual Tracking	-
HIPTrack	0.71	HIPTrack: Visual Tracking with Historical Prompts	-
GradNet	-	GradNet: Gradient-Guided Network for Visual Object Tracking	-
TRASFUST	0.701	Tracking-by-Trackers with a Distilled and Reinforced Model	-
ODTrack-L	0.724	ODTrack: Online Dense Temporal Token Learning for Visual Tracking	-
ASRCF	0.692	Visual Tracking via Adaptive Spatially-Regularized Correlation Filters
CFNet	0.568	End-to-end representation learning for Correlation Filter based tracking	-
SAMURAI-L	0.715	SAMURAI: Adapting Segment Anything Model for Zero-Shot Visual Tracking with Motion-Aware Memory	-
STMTrack	0.719	STMTrack: Template-free Visual Tracking with Space-time Memory Networks	-
UniTrack_DCF	0.618	Do Different Tracking Tasks Require Different Appearance Models?	-
SE-SiamFC	0.66	Scale Equivariance Improves Siamese Tracking	-
AAA	0.70	AAA: Adaptive Aggregation of Arbitrary Online Trackers with Theoretical Performance Guarantee	-
PiVOT-L	0.712	Improving Visual Object Tracking through Visual Prompting	-

0 of 17 row(s) selected.

Visual Object Tracking On Otb 2015 | SOTA | HyperAI