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	Score
Learning regression and verification networks for long-term visual tracking	Sep 12, 2018	General ClassificationObject	CodeCode Available	5
Kernel Cross-Correlator	Sep 12, 2017	Activity RecognitionHuman Activity Recognition	CodeCode Available	5
Kernel learning for visual perception	Dec 6, 2019	Activity RecognitionHuman Activity Recognition	CodeCode Available	5
CHASE: Robust Visual Tracking via Cell-Level Differentiable Neural Architecture Search	Jul 2, 2021	Neural Architecture SearchSemantic Segmentation	CodeCode Available	5
Kernalised Multi-resolution Convnet for Visual Tracking	Aug 2, 2017	Object TrackingVisual Object Tracking	CodeCode Available	5
Keyfilter-Aware Real-Time UAV Object Tracking	Mar 11, 2020	ObjectObject Tracking	CodeCode Available	5
CGMN: A Contrastive Graph Matching Network for Self-Supervised Graph Similarity Learning	May 30, 2022	Collaborative FilteringGraph Classification	CodeCode Available	5
Dual Deep Network for Visual Tracking	Dec 19, 2016	Visual Tracking	CodeCode Available	5
Integrating Boundary and Center Correlation Filters for Visual Tracking with Aspect Ratio Variation	Oct 5, 2017	Visual Tracking	CodeCode Available	5
Learning Spatial-Aware Regressions for Visual Tracking	Jun 22, 2017	regressionVisual Object Tracking	CodeCode Available	5

Show:10 25 50

← PrevPage 20 of 53Next →

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