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 301–310 of 525 papers

Title	Date	Tasks	Status
Once for All: a Two-flow Convolutional Neural Network for Visual Tracking	Apr 26, 2016	AllObject	—Unverified
One-Shot Adversarial Attacks on Visual Tracking With Dual Attention	Jun 1, 2020	Adversarial AttackObject	—Unverified
Online Decision Based Visual Tracking via Reinforcement Learning	Dec 1, 2020	Hierarchical Reinforcement Learningobject-detection	—Unverified
Online Hybrid Lightweight Representations Learning: Its Application to Visual Tracking	May 23, 2022	Representation LearningVisual Tracking	—Unverified
Online Metric-Weighted Linear Representations for Robust Visual Tracking	Jul 21, 2015	Metric LearningObject	—Unverified
Self-Supervised Tracking via Target-Aware Data Synthesis	Jun 21, 2021	Representation LearningSelf-Supervised Learning	—Unverified
Online Tracking by Learning Discriminative Saliency Map with Convolutional Neural Network	Feb 24, 2015	Visual Tracking	—Unverified
Online Unsupervised Feature Learning for Visual Tracking	Oct 7, 2013	Dictionary LearningVisual Tracking	—Unverified
Online Visual Tracking with One-Shot Context-Aware Domain Adaptation	Aug 22, 2020	Domain AdaptationVisual Tracking	—Unverified
On the connections between saliency and tracking	Dec 1, 2012	Visual Tracking	—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