HyperAIHyperAI
الرئيسيةالأخبارأحدث الأوراق البحثيةالدروسمجموعات البياناتالموسوعةSOTAنماذج LLMلوحة الأداء GPUالفعاليات
البحث
حول
HyperAIHyperAI

Visual Object Tracking On Tnl2K

المقاييس

AUC

النتائج

نتائج أداء النماذج المختلفة على هذا المعيار القياسي

اسم النموذج
AUC
Paper TitleRepository
MCITrack-B22462.9Exploring Enhanced Contextual Information for Video-Level Object Tracking-
RTracker-L60.6RTracker: Recoverable Tracking via PN Tree Structured Memory-
MixFormerV2-B57.4--
LoRAT-g-37862.7Tracking Meets LoRA: Faster Training, Larger Model, Stronger Performance-
MCITrack-L38465.3Exploring Enhanced Contextual Information for Video-Level Object Tracking-
ARTrackV2-L61.6ARTrackV2: Prompting Autoregressive Tracker Where to Look and How to Describe-
SeqTrack-L38457.8Unified Sequence-to-Sequence Learning for Single- and Multi-Modal Visual Object Tracking-
AdaSwitcher-Towards More Flexible and Accurate Object Tracking with Natural Language: Algorithms and Benchmark-
ODTrack-B60.9ODTrack: Online Dense Temporal Token Learning for Visual Tracking-
ARTrack-L60.3Autoregressive Visual Tracking
ODTrack-L61.7ODTrack: Online Dense Temporal Token Learning for Visual Tracking-
DropTrack56.9DropMAE: Learning Representations via Masked Autoencoders with Spatial-Attention Dropout for Temporal Matching Tasks-
LoRAT-L-37862.3Tracking Meets LoRA: Faster Training, Larger Model, Stronger Performance-
0 of 13 row(s) selected.
Visual Object Tracking On Tnl2K | SOTA | HyperAI