Visual Object Tracking On Trackingnet

평가 지표

Accuracy

Normalized Precision

Precision

평가 결과

이 벤치마크에서 각 모델의 성능 결과

				Paper Title
MCITrack-L384	87.9	92.1	89.2	Exploring Enhanced Contextual Information for Video-Level Object Tracking
MCITrack-B224	86.3	90.9	86.1	Exploring Enhanced Contextual Information for Video-Level Object Tracking
ODTrack-L	86.1	-	-	ODTrack: Online Dense Temporal Token Learning for Visual Tracking
MixViT-L(ConvMAE)	86.1	90.3	86.0	MixFormer: End-to-End Tracking with Iterative Mixed Attention
ARTrackV2-L	86.1	90.4	86.2	ARTrackV2: Prompting Autoregressive Tracker Where to Look and How to Describe
LoRAT-g-378	86.0	90.2	86.1	Tracking Meets LoRA: Faster Training, Larger Model, Stronger Performance
ARTrack-L	85.6	89.6	86.0	Autoregressive Visual Tracking
LoRAT-L-378	85.6	89.7	85.4	Tracking Meets LoRA: Faster Training, Larger Model, Stronger Performance
SeqTrack-L384	85.5	89.8	85.8	Unified Sequence-to-Sequence Learning for Single- and Multi-Modal Visual Object Tracking
UNINEXT-H	85.4	89.0	86.4	Universal Instance Perception as Object Discovery and Retrieval
SAMURAI-L	85.3	-	-	SAMURAI: Adapting Segment Anything Model for Zero-Shot Visual Tracking with Motion-Aware Memory
ODTrack-B	85.1	-	-	ODTrack: Online Dense Temporal Token Learning for Visual Tracking
TATrack-L	85.0	89.3	84.5	Target-Aware Tracking with Long-term Context Attention
HIPTrack	84.5	89.1	83.8	HIPTrack: Visual Tracking with Historical Prompts
SwinTrack-B-384	84	88.2	83.2	SwinTrack: A Simple and Strong Baseline for Transformer Tracking
OSTrack-384	83.9	88.5	83.2	Joint Feature Learning and Relation Modeling for Tracking: A One-Stream Framework
MixFormer-L	83.9	88.9	83.1	MixFormer: End-to-End Tracking with Iterative Mixed Attention
NeighborTrack-OSTrack	83.79	88.30	-	NeighborTrack: Improving Single Object Tracking by Bipartite Matching with Neighbor Tracklets
MixFormerV2-B	83.4	88.1	81.6	-
MITS	83.4	88.9	84.6	Integrating Boxes and Masks: A Multi-Object Framework for Unified Visual Tracking and Segmentation

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Visual Object Tracking On Trackingnet

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평가 결과