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 41–50 of 341 papers

Title	Date	Tasks	Status	Hype
Exploring Dynamic Transformer for Efficient Object Tracking	Mar 26, 2024	ObjectObject Tracking	—Unverified	0
OmniVid: A Generative Framework for Universal Video Understanding	Mar 26, 2024	Action RecognitionDecoder	CodeCode Available	2
Elysium: Exploring Object-level Perception in Videos via MLLM	Mar 25, 2024	ObjectObject Tracking	CodeCode Available	2
SDSTrack: Self-Distillation Symmetric Adapter Learning for Multi-Modal Visual Object Tracking	Mar 24, 2024	Object TrackingRgb-T Tracking	CodeCode Available	2
Autoregressive Queries for Adaptive Tracking with Spatio-TemporalTransformers	Mar 15, 2024	Visual Object TrackingVisual Tracking	—Unverified	0
OneTracker: Unifying Visual Object Tracking with Foundation Models and Efficient Tuning	Mar 14, 2024	ObjectObject Tracking	—Unverified	0
Tracking Meets LoRA: Faster Training, Larger Model, Stronger Performance	Mar 8, 2024	GPUparameter-efficient fine-tuning	CodeCode Available	2
VastTrack: Vast Category Visual Object Tracking	Mar 6, 2024	ObjectObject Tracking	CodeCode Available	2
Enhancing Tracking Robustness with Auxiliary Adversarial Defense Networks	Feb 28, 2024	Adversarial AttackAdversarial Defense	—Unverified	0
ACTrack: Adding Spatio-Temporal Condition for Visual Object Tracking	Feb 27, 2024	ObjectObject Tracking	—Unverified	0

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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	ODTrack-L	Accuracy	86.1	—	Unverified
7	ARTrackV2-L	Accuracy	86.1	—	Unverified
8	SPMTrack-B	Accuracy	86.1	—	Unverified
9	MixViT-L(ConvMAE)	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	NeighborTrack-OSTrack	AUC	0.73	—	Unverified
3	LoRAT-L-378	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