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Visual Object Tracking On Uav123

评估指标

AUC

评测结果

各个模型在此基准测试上的表现结果

模型名称
AUC
Paper TitleRepository
ARTrackV2-L0.717ARTrackV2: Prompting Autoregressive Tracker Where to Look and How to Describe
OSTrack -3840.707Joint Feature Learning and Relation Modeling for Tracking: A One-Stream Framework
LoRAT-L-3780.725Tracking Meets LoRA: Faster Training, Larger Model, Stronger Performance
LoRAT-g-3780.739Tracking Meets LoRA: Faster Training, Larger Model, Stronger Performance
KeepTrack0.697Learning Target Candidate Association to Keep Track of What Not to Track
SeqTrack-L3840.685Unified Sequence-to-Sequence Learning for Single- and Multi-Modal Visual Object Tracking
AiATrack0.706AiATrack: Attention in Attention for Transformer Visual Tracking
TREG0.669Target Transformed Regression for Accurate Tracking
DiMP-NCE+0.672How to Train Your Energy-Based Model for Regression
HIPTrack0.705HIPTrack: Visual Tracking with Historical Prompts
TRASFUST0.679Tracking-by-Trackers with a Distilled and Reinforced Model
NeighborTrack-OSTrack0.725NeighborTrack: Improving Single Object Tracking by Bipartite Matching with Neighbor Tracklets
ATOM(Resnet18)+EnergyRegression0.672Energy-Based Models for Deep Probabilistic Regression
ARTrack-L0.712Autoregressive Visual Tracking-
MixFormer0.704MixFormer: End-to-End Tracking with Iterative Mixed Attention
0 of 15 row(s) selected.
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