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Visual Object Tracking On Lasot

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
DAM4SAM75.1A Distractor-Aware Memory for Visual Object Tracking with SAM2-
UNINEXT-L72.4Universal Instance Perception as Object Discovery and Retrieval-
LoRAT-L-37875.1Tracking Meets LoRA: Faster Training, Larger Model, Stronger Performance-
NeighborTrack-OSTrack72.2NeighborTrack: Improving Single Object Tracking by Bipartite Matching with Neighbor Tracklets-
TransT64.9Transformer Tracking-
SiamBAN-ACM57.2Learning to Fuse Asymmetric Feature Maps in Siamese Trackers-
AiATrack69.0AiATrack: Attention in Attention for Transformer Visual Tracking-
PiVOT-L73.4Improving Visual Object Tracking through Visual Prompting-
DiMP-NCE+63.7How to Train Your Energy-Based Model for Regression-
ToMP-Transforming Model Prediction for Tracking-
MixFormer-L70.1MixFormer: End-to-End Tracking with Iterative Mixed Attention-
STARK67.1Learning Spatio-Temporal Transformer for Visual Tracking-
MCITrack-L38476.6Exploring Enhanced Contextual Information for Video-Level Object Tracking-
Unicorn68.5Towards Grand Unification of Object Tracking-
HIPTrack72.7HIPTrack: Visual Tracking with Historical Prompts-
ODTrack-B73.2ODTrack: Online Dense Temporal Token Learning for Visual Tracking-
ARTrackV2-L73.6ARTrackV2: Prompting Autoregressive Tracker Where to Look and How to Describe-
MixViT-L(ConvMAE)73.3MixFormer: End-to-End Tracking with Iterative Mixed Attention-
MixFormerV2-B70.6--
KeepTrack67.1Learning Target Candidate Association to Keep Track of What Not to Track-
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