Visual Object Tracking

Visual Object Tracking is an important research topic in computer vision, image understanding and pattern recognition. Given the initial state (centre location and scale) of a target in the first frame of a video sequence, the aim of Visual Object Tracking is to automatically obtain the states of the object in the subsequent video frames.

Source: Learning Adaptive Discriminative Correlation Filters via Temporal Consistency Preserving Spatial Feature Selection for Robust Visual Object Tracking

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 1–10 of 341 papers

Title	Date	Tasks	Status	Hype
UMDATrack: Unified Multi-Domain Adaptive Tracking Under Adverse Weather Conditions	Jul 1, 2025	Domain AdaptationObject Tracking	CodeCode Available	1
Mamba-FETrack V2: Revisiting State Space Model for Frame-Event based Visual Object Tracking	Jun 30, 2025	MambaObject Tracking	CodeCode Available	1
R1-Track: Direct Application of MLLMs to Visual Object Tracking via Reinforcement Learning	Jun 27, 2025	Object TrackingTemplate Matching	CodeCode Available	2
Fully Spiking Neural Networks for Unified Frame-Event Object Tracking	May 27, 2025	Object TrackingVisual Object Tracking	—Unverified	0
Progressive Scaling Visual Object Tracking	May 26, 2025	ObjectObject Tracking	—Unverified	0
Adapting SAM 2 for Visual Object Tracking: 1st Place Solution for MMVPR Challenge Multi-Modal Tracking	May 23, 2025	ObjectObject Tracking	—Unverified	0
Towards Low-Latency Event Stream-based Visual Object Tracking: A Slow-Fast Approach	May 19, 2025	Knowledge DistillationObject Tracking	CodeCode Available	0
CGTrack: Cascade Gating Network with Hierarchical Feature Aggregation for UAV Tracking	May 9, 2025	Object TrackingVisual Object Tracking	CodeCode Available	0
Adversarial Attack for RGB-Event based Visual Object Tracking	Apr 19, 2025	Adversarial AttackObject Tracking	CodeCode Available	0
SPMTrack: Spatio-Temporal Parameter-Efficient Fine-Tuning with Mixture of Experts for Scalable Visual Tracking	Mar 24, 2025	Mixture-of-Expertsparameter-efficient fine-tuning	CodeCode Available	1

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All datasets LaSOT GOT-10k TrackingNet LaSOT-ext OTB-2015 UAV123 TNL2K VOT2017/18 DiDi NeedForSpeed YouTube-VOS 2018 AVisT

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	SPMTrack-G	AUC	77.4	—	Unverified
2	SPMTrack-L	AUC	76.8	—	Unverified
3	MCITrack-L384	AUC	76.6	—	Unverified
4	LoRAT-g-378	AUC	76.2	—	Unverified
5	MCITrack-B224	AUC	75.3	—	Unverified
6	DAM4SAM	AUC	75.1	—	Unverified
7	LoRAT-L-378	AUC	75.1	—	Unverified
8	SPMTrack-B	AUC	74.9	—	Unverified
9	RTracker-L	AUC	74.7	—	Unverified
10	SAMURAI-L	AUC	74.2	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	SAMURAI-L	Average Overlap	81.7	—	Unverified
2	DAM4SAM	Average Overlap	81.1	—	Unverified
3	SPMTrack-G	Average Overlap	81	—	Unverified
4	MITS	Average Overlap	80.4	—	Unverified
5	MCITrack-L384	Average Overlap	80	—	Unverified
6	SPMTrack-L	Average Overlap	80	—	Unverified
7	ARTrackV2-L	Average Overlap	79.5	—	Unverified
8	LoRAT-g-378	Average Overlap	78.9	—	Unverified
9	ARTrack-L	Average Overlap	78.5	—	Unverified
10	ODTrack-L	Average Overlap	78.2	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	DropTrack	Normalized Precision	88.9	—	Unverified
2	MCITrack-L384	Accuracy	87.9	—	Unverified
3	SPMTrack-G	Accuracy	87.3	—	Unverified
4	SPMTrack-L	Accuracy	86.9	—	Unverified
5	MCITrack-B224	Accuracy	86.3	—	Unverified
6	ARTrackV2-L	Accuracy	86.1	—	Unverified
7	MixViT-L(ConvMAE)	Accuracy	86.1	—	Unverified
8	SPMTrack-B	Accuracy	86.1	—	Unverified
9	ODTrack-L	Accuracy	86.1	—	Unverified
10	LoRAT-g-378	Accuracy	86	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	SAMURAI-L	AUC	61	—	Unverified
2	DAM4SAM	AUC	60.9	—	Unverified
3	LoRAT-L-378	AUC	56.6	—	Unverified
4	LoRAT-g-378	AUC	56.5	—	Unverified
5	UNINEXT-H	AUC	56.2	—	Unverified
6	MCITrack-L384	AUC	55.7	—	Unverified
7	RTracker-L	AUC	54.9	—	Unverified
8	MCITrack-B224	AUC	54.6	—	Unverified
9	ODTrack-L	AUC	53.9	—	Unverified
10	ARTrackV2-L	AUC	53.4	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	GradNet	Precision	0.86	—	Unverified
2	SPMTrack-B	AUC	0.73	—	Unverified
3	ODTrack-L	AUC	0.72	—	Unverified
4	ODTrack-B	AUC	0.72	—	Unverified
5	STMTrack	AUC	0.72	—	Unverified
6	SAMURAI-L	AUC	0.72	—	Unverified
7	PiVOT-L	AUC	0.71	—	Unverified
8	HIPTrack	AUC	0.71	—	Unverified
9	KeepTrack	AUC	0.71	—	Unverified
10	TRASFUST	AUC	0.7	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	LoRAT-g-378	AUC	0.74	—	Unverified
2	LoRAT-L-378	AUC	0.73	—	Unverified
3	NeighborTrack-OSTrack	AUC	0.73	—	Unverified
4	SPMTrack-B	AUC	0.72	—	Unverified
5	ARTrackV2-L	AUC	0.72	—	Unverified
6	ARTrack-L	AUC	0.71	—	Unverified
7	OSTrack -384	AUC	0.71	—	Unverified
8	AiATrack	AUC	0.71	—	Unverified
9	HIPTrack	AUC	0.71	—	Unverified
10	MixFormer	AUC	0.7	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	MCITrack-L384	AUC	65.3	—	Unverified
2	SPMTrack-G	AUC	64.7	—	Unverified
3	SPMTrack-L	AUC	63.7	—	Unverified
4	MCITrack-B224	AUC	62.9	—	Unverified
5	LoRAT-g-378	AUC	62.7	—	Unverified
6	LoRAT-L-378	AUC	62.3	—	Unverified
7	SPMTrack-B	AUC	62	—	Unverified
8	ODTrack-L	AUC	61.7	—	Unverified
9	ARTrackV2-L	AUC	61.6	—	Unverified
10	ODTrack-B	AUC	60.9	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	SiamMask_E	Expected Average Overlap (EAO)	0.45	—	Unverified
2	SiamFC++	Expected Average Overlap (EAO)	0.43	—	Unverified
3	SiamRPN++_R	Expected Average Overlap (EAO)	0.42	—	Unverified
4	THOR-SiamRPN	Expected Average Overlap (EAO)	0.42	—	Unverified
5	SiamRPN++	Expected Average Overlap (EAO)	0.41	—	Unverified
6	THOR-SiamMask	Expected Average Overlap (EAO)	0.41	—	Unverified