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 271–280 of 525 papers

Title	Date	Tasks	Status	Hype
ROI Pooled Correlation Filters for Visual Tracking	Nov 5, 2019	object-detectionObject Detection	CodeCode Available	0
Multivariate Uncertainty in Deep Learning	Oct 31, 2019	Autonomous VehiclesDeep Learning	—Unverified	0
SPARK: Spatial-aware Online Incremental Attack Against Visual Tracking	Oct 19, 2019	Adversarial AttackObject Tracking	CodeCode Available	0
Superpixel Tensor Pooling for Visual Tracking using Multiple Midlevel Visual Cues Fusion	Oct 13, 2019	SuperpixelsVisual Tracking	—Unverified	0
Hierarchical Feature-Aware Tracking	Oct 13, 2019	Visual Tracking	—Unverified	0
Direct Visual-Inertial Odometry with Semi-Dense Mapping	Oct 4, 2019	Sensor FusionVisual Odometry	—Unverified	0
Energy-Based Models for Deep Probabilistic Regression	Sep 26, 2019	Head Pose Estimationobject-detection	CodeCode Available	1
Inducing Stronger Object Representations in Deep Visual Trackers	Sep 25, 2019	ObjectSaliency Detection	—Unverified	0
Visual Tracking by means of Deep Reinforcement Learning and an Expert Demonstrator	Sep 18, 2019	Deep Reinforcement Learningreinforcement-learning	—Unverified	0
GradNet: Gradient-Guided Network for Visual Object Tracking	Sep 15, 2019	ObjectObject Tracking	CodeCode Available	0

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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