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Visual Object Tracking On Uav123

評価指標

AUC

評価結果

このベンチマークにおける各モデルのパフォーマンス結果

モデル名
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.
Visual Object Tracking On Uav123 | SOTA | HyperAI超神経