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

0 of 43 row(s) selected.