Visual Object Tracking On Lasot

AUC

Résultats

Résultats de performance de divers modèles sur ce benchmark

Nom du modèle	AUC	Paper Title	Repository
DAM4SAM	75.1	A Distractor-Aware Memory for Visual Object Tracking with SAM2	-
UNINEXT-L	72.4	Universal Instance Perception as Object Discovery and Retrieval	-
LoRAT-L-378	75.1	Tracking Meets LoRA: Faster Training, Larger Model, Stronger Performance	-
NeighborTrack-OSTrack	72.2	NeighborTrack: Improving Single Object Tracking by Bipartite Matching with Neighbor Tracklets	-
TransT	64.9	Transformer Tracking	-
SiamBAN-ACM	57.2	Learning to Fuse Asymmetric Feature Maps in Siamese Trackers	-
AiATrack	69.0	AiATrack: Attention in Attention for Transformer Visual Tracking	-
PiVOT-L	73.4	Improving Visual Object Tracking through Visual Prompting	-
DiMP-NCE+	63.7	How to Train Your Energy-Based Model for Regression	-
ToMP	-	Transforming Model Prediction for Tracking	-
MixFormer-L	70.1	MixFormer: End-to-End Tracking with Iterative Mixed Attention	-
STARK	67.1	Learning Spatio-Temporal Transformer for Visual Tracking	-
MCITrack-L384	76.6	Exploring Enhanced Contextual Information for Video-Level Object Tracking	-
Unicorn	68.5	Towards Grand Unification of Object Tracking	-
HIPTrack	72.7	HIPTrack: Visual Tracking with Historical Prompts	-
ODTrack-B	73.2	ODTrack: Online Dense Temporal Token Learning for Visual Tracking	-
ARTrackV2-L	73.6	ARTrackV2: Prompting Autoregressive Tracker Where to Look and How to Describe	-
MixViT-L(ConvMAE)	73.3	MixFormer: End-to-End Tracking with Iterative Mixed Attention	-
MixFormerV2-B	70.6	-	-
KeepTrack	67.1	Learning Target Candidate Association to Keep Track of What Not to Track	-

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