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 191–200 of 525 papers

Title	Date	Tasks	Status
Visual Object Tracking with Discriminative Filters and Siamese Networks: A Survey and Outlook	Dec 6, 2021	Object TrackingSurvey	—Unverified
Learning Dynamic Compact Memory Embedding for Deformable Visual Object Tracking	Nov 23, 2021	Object TrackingSegmentation	—Unverified
3D Visual Tracking Framework with Deep Learning for Asteroid Exploration	Nov 21, 2021	Deep LearningVisual Tracking	—Unverified
Learning Online for Unified Segmentation and Tracking Models	Nov 12, 2021	Meta-LearningVisual Tracking	—Unverified
Cross-Modal Object Tracking: Modality-Aware Representations and A Unified Benchmark	Nov 8, 2021	Object TrackingVisual Tracking	—Unverified
Explicitly Modeling the Discriminability for Instance-Aware Visual Object Tracking	Oct 28, 2021	Contrastive LearningObject Tracking	—Unverified
TAPL: Dynamic Part-based Visual Tracking via Attention-guided Part Localization	Oct 25, 2021	ObjectVisual Tracking	—Unverified
RPT++: Customized Feature Representation for Siamese Visual Tracking	Oct 23, 2021	ClassificationState Estimation	—Unverified
Active Learning for Deep Visual Tracking	Oct 17, 2021	Active LearningDiversity	—Unverified
Is First Person Vision Challenging for Object Tracking?	Aug 31, 2021	Human-Object Interaction DetectionObject	—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