Visual Tracking

Visual Tracking is an essential and actively researched problem in the field of computer vision with various real-world applications such as robotic services, smart surveillance systems, autonomous driving, and human-computer interaction. It refers to the automatic estimation of the trajectory of an arbitrary target object, usually specified by a bounding box in the first frame, as it moves around in subsequent video frames.

Source: Learning Reinforced Attentional Representation for End-to-End Visual Tracking

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 461–470 of 525 papers

Title	Date	Tasks	Status
Efficient Version-Space Reduction for Visual Tracking	Apr 2, 2017	Visual Tracking	—Unverified
Efficient Scale Estimation Methods using Lightweight Deep Convolutional Neural Networks for Visual Tracking	Apr 6, 2020	Computational EfficiencyVisual Tracking	—Unverified
Track Everything: Limiting Prior Knowledge in Online Multi-Object Recognition	Apr 21, 2017	General ClassificationMulti-Object Tracking	—Unverified
Empowering Embodied Visual Tracking with Visual Foundation Models and Offline RL	Apr 15, 2024	GPUOffline RL	—Unverified
End-to-end feature fusion siamese network for adaptive visual tracking	Feb 4, 2019	Visual Tracking	—Unverified
Enforcing Template Representability and Temporal Consistency for Adaptive Sparse Tracking	Apr 30, 2016	DescriptiveVisual Tracking	—Unverified
Enhanced Transformer-Based Tracking for Skiing Events: Overcoming Multi-Camera Challenges, Scale Variations and Rapid Motion -- SkiTB Visual Tracking Challenge 2025	Feb 26, 2025	Visual Tracking	—Unverified
Equivalence of Correlation Filter and Convolution Filter in Visual Tracking	May 1, 2021	Edge DetectionVisual Tracking	—Unverified
Visual Tracking via Reliable Memories	Feb 4, 2016	ClusteringVisual Tracking	—Unverified
Visual Tracking via Shallow and Deep Collaborative Model	Jul 27, 2016	Incremental Learningmodel	—Unverified

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All datasets TNL2K DAVIS Kinetics Kubric RGB-Stacking LaSOT OTB-100 OTB-2013 Second dialogue state tracking challenge TrackingNet

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	ARTrack-L	AUC	60.3	—	Unverified
2	UNINEXT-H	AUC	59.3	—	Unverified
3	JointNLT	AUC	56.9	—	Unverified
4	OSTrack	AUC	55.9	—	Unverified
5	TransT	AUC	50.7	—	Unverified
6	AdaSwitcher	AUC	42	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	TAPIR (Panning MOVi-E)	Average Jaccard	61.3	—	Unverified
2	TAPIR (MOVi-E)	Average Jaccard	59.8	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	TAPIR (Panning MOVi-E)	Average Jaccard	57.2	—	Unverified
2	TAPIR (MOVi-E)	Average Jaccard	57.1	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	TAPIR (Panning MOVi-E)	Average Jaccard	84.7	—	Unverified
2	TAPIR (MOVi-E)	Average Jaccard	84.3	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	TAPIR (MOVi-E)	Average Jaccard	66.2	—	Unverified
2	TAPIR (Panning MOVi-E)	Average Jaccard	62.7	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	TATrack-L	AUC	71.1	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	SiamFC-lu (Ours)	AUC	0.32	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	SiamFC-lu (Ours)	AUC	0.66	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	MDNet	Score	0.64	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	TATrack-L	ACCURACY	0.85	—	Unverified