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 201–210 of 525 papers

Title	Date	Tasks	Status	Hype
Learning to Fuse Asymmetric Feature Maps in Siamese Trackers	Dec 4, 2020	Video Object TrackingVisual Object Tracking	CodeCode Available	1
Online Decision Based Visual Tracking via Reinforcement Learning	Dec 1, 2020	Hierarchical Reinforcement Learningobject-detection	—Unverified	0
Robust Correlation Tracking via Multi-channel Fused Features and Reliable Response Map	Nov 25, 2020	ObjectVisual Tracking	—Unverified	0
CRACT: Cascaded Regression-Align-Classification for Robust Visual Tracking	Nov 25, 2020	ClassificationGeneral Classification	—Unverified	0
Is First Person Vision Challenging for Object Tracking?	Nov 24, 2020	Human-Object Interaction DetectionObject	—Unverified	0
Graph Attention Tracking	Nov 23, 2020	Graph AttentionObject Tracking	—Unverified	0
Transparent Object Tracking Benchmark	Nov 21, 2020	ObjectObject Tracking	—Unverified	0
RSINet: Rotation-Scale Invariant Network for Online Visual Tracking	Nov 18, 2020	Multi-Task LearningVisual Tracking	—Unverified	0
RGBT Tracking via Multi-Adapter Network with Hierarchical Divergence Loss	Nov 14, 2020	Representation LearningRgb-T Tracking	—Unverified	0
Machine learning methods for the detection of polar lows in satellite mosaics: major issues and their solutions	Nov 9, 2020	Visual Tracking	—Unverified	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