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홈 뉴스 최신 연구 논문 튜토리얼 데이터셋 백과사전 SOTA LLM 모델 GPU 랭킹 컨퍼런스

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Visual Object Tracking On Uav123

평가 지표

AUC

평가 결과

이 벤치마크에서 각 모델의 성능 결과

모델 이름	AUC	Paper Title	Repository
ARTrackV2-L	0.717	ARTrackV2: Prompting Autoregressive Tracker Where to Look and How to Describe	-
OSTrack -384	0.707	Joint Feature Learning and Relation Modeling for Tracking: A One-Stream Framework	-
LoRAT-L-378	0.725	Tracking Meets LoRA: Faster Training, Larger Model, Stronger Performance	-
LoRAT-g-378	0.739	Tracking Meets LoRA: Faster Training, Larger Model, Stronger Performance	-
KeepTrack	0.697	Learning Target Candidate Association to Keep Track of What Not to Track	-
SeqTrack-L384	0.685	Unified Sequence-to-Sequence Learning for Single- and Multi-Modal Visual Object Tracking	-
AiATrack	0.706	AiATrack: Attention in Attention for Transformer Visual Tracking	-
TREG	0.669	Target Transformed Regression for Accurate Tracking	-
DiMP-NCE+	0.672	How to Train Your Energy-Based Model for Regression	-
HIPTrack	0.705	HIPTrack: Visual Tracking with Historical Prompts	-
TRASFUST	0.679	Tracking-by-Trackers with a Distilled and Reinforced Model	-
NeighborTrack-OSTrack	0.725	NeighborTrack: Improving Single Object Tracking by Bipartite Matching with Neighbor Tracklets	-
ATOM(Resnet18)+EnergyRegression	0.672	Energy-Based Models for Deep Probabilistic Regression	-
ARTrack-L	0.712	Autoregressive Visual Tracking
MixFormer	0.704	MixFormer: End-to-End Tracking with Iterative Mixed Attention	-

0 of 15 row(s) selected.

Visual Object Tracking On Uav123 | SOTA | HyperAI초신경