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 176–200 of 341 papers

Title	Date	Tasks	Status	Score
SiamVGG: Visual Tracking using Deeper Siamese Networks	Feb 7, 2019	Object TrackingVisual Object Tracking	CodeCode Available	5
SPARK: Spatial-aware Online Incremental Attack Against Visual Tracking	Oct 19, 2019	Adversarial AttackObject Tracking	CodeCode Available	5
Spatially Supervised Recurrent Convolutional Neural Networks for Visual Object Tracking	Jul 19, 2016	Binary Classificationobject-detection	CodeCode Available	5
Spatiotemporal CNN for Video Object Segmentation	Apr 4, 2019	ObjectSegmentation	CodeCode Available	5
Staple: Complementary Learners for Real-Time Tracking	Dec 4, 2015	regressionVideo Object Tracking	CodeCode Available	5
TCAM: Temporal Class Activation Maps for Object Localization in Weakly-Labeled Unconstrained Videos	Aug 30, 2022	ObjectObject Localization	CodeCode Available	5
TENet: Targetness Entanglement Incorporating with Multi-Scale Pooling and Mutually-Guided Fusion for RGB-E Object Tracking	May 8, 2024	Object TrackingVisual Object Tracking	CodeCode Available	5
Towards Low-Latency Event Stream-based Visual Object Tracking: A Slow-Fast Approach	May 19, 2025	Knowledge DistillationObject Tracking	CodeCode Available	5
Tracking Skiers from the Top to the Bottom	Dec 15, 2023	Object TrackingVisual Object Tracking	CodeCode Available	5
TrackPGD: Efficient Adversarial Attack using Object Binary Masks against Robust Transformer Trackers	Jul 4, 2024	Adversarial AttackAdversarial Robustness	CodeCode Available	5
Training-Set Distillation for Real-Time UAV Object Tracking	Mar 11, 2020	CPUObject	CodeCode Available	5
Transforming Model Prediction for Tracking	Mar 21, 2022	Inductive Biasmodel	CodeCode Available	5
Visual Object Tracking: The Initialisation Problem	May 3, 2018	Image MattingMissing Labels	CodeCode Available	5
Modeling and Propagating CNNs in a Tree Structure for Visual Tracking	Aug 25, 2016	Object TrackingVisual Object Tracking	—Unverified	0
Motion Prediction in Visual Object Tracking	Jul 1, 2020	Autonomous Drivingmotion prediction	—Unverified	0
Multi-domain Collaborative Feature Representation for Robust Visual Object Tracking	Aug 10, 2021	Object TrackingVisual Object Tracking	—Unverified	0
An Accelerated Correlation Filter Tracker	Dec 5, 2019	BenchmarkingObject Tracking	—Unverified	0
Multi-modal Tracking for Object based SLAM	Mar 14, 2016	ObjectObject Tracking	—Unverified	0
First Step toward Model-Free, Anonymous Object Tracking with Recurrent Neural Networks	Nov 19, 2015	ObjectObject Tracking	—Unverified	0
AFAT: Adaptive Failure-Aware Tracker for Robust Visual Object Tracking	May 27, 2020	BenchmarkingObject Tracking	—Unverified	0
Multiple Feature Fusion via Weighted Entropy for Visual Tracking	Dec 1, 2015	ObjectObject Tracking	—Unverified	0
A Discriminative Single-Shot Segmentation Network for Visual Object Tracking	Dec 22, 2021	ObjectObject Tracking	—Unverified	0
Multiple-Vehicle Tracking in the Highway Using Appearance Model and Visual Object Tracking	Jun 12, 2020	Object TrackingVisual Object Tracking	—Unverified	0
Improving Siamese Based Trackers with Light or No Training through Multiple Templates and Temporal Network	Nov 24, 2022	Object TrackingVisual Object Tracking	—Unverified	0
Effects of Blur and Deblurring to Visual Object Tracking	Aug 21, 2019	DeblurringImage Deblurring	—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	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