Video Object Tracking On Nv Vot211

Métriques

AUC

Precision

Résultats

Résultats de performance de divers modèles sur ce benchmark

Nom du modèle	AUC	Precision	Paper Title	Repository
Unicorn	34.52	47.77	Towards Grand Unification of Object Tracking
Mixformer(ConvMAE)	39.23	54.20	MixFormer: End-to-End Tracking with Iterative Mixed Attention
TATrack-L	39.29	53.94	Target-Aware Tracking with Long-term Context Attention	-
SLT-TransT	37.22	51.70	Towards Sequence-Level Training for Visual Tracking
TRAS	23.58	30.64	Tracking-by-Trackers with a Distilled and Reinforced Model
MKCFup	28.04	34.94	High-speed Tracking with Multi-kernel Correlation Filters	-
TrDiMP	36.66	50.68	Transformer Meets Tracker: Exploiting Temporal Context for Robust Visual Tracking
ProContEXT	40.10	54.50	ProContEXT: Exploring Progressive Context Transformer for Tracking
SiamMask	35.14	46.49	Fast Online Object Tracking and Segmentation: A Unifying Approach
DAT	17.52	21.60	In Defense of Color-Based Model-Free Tracking	-
ToMP-50	39.25	53.01	Transforming Model Prediction for Tracking
DiMP-50	35.89	48.68	Learning Discriminative Model Prediction for Tracking
KYS	36.02	48.13	Know Your Surroundings: Exploiting Scene Information for Object Tracking
Neighbor- Track(OSTrack)	38.32	52.54	NeighborTrack: Improving Single Object Tracking by Bipartite Matching with Neighbor Tracklets
TransT	36.79	51.97	Transformer Tracking
ADTrack	31.82	40.31	ADTrack: Target-Aware Dual Filter Learning for Real-Time Anti-Dark UAV Tracking
Staple	31.29	39.12	Staple: Complementary Learners for Real-Time Tracking
ARTrack-L	35.92	51.64	Autoregressive Visual Tracking
RTS	36.20	53.68	Robust Visual Tracking by Segmentation
SiamRPN	33.92	44.04	High Performance Visual Tracking With Siamese Region Proposal Network	-

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