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 231–240 of 525 papers

Title	Date	Tasks	Status
Graph Attention Tracking	Nov 23, 2020	Graph AttentionObject Tracking	—Unverified
Transparent Object Tracking Benchmark	Nov 21, 2020	ObjectObject Tracking	—Unverified
RSINet: Rotation-Scale Invariant Network for Online Visual Tracking	Nov 18, 2020	Multi-Task LearningVisual Tracking	—Unverified
RGBT Tracking via Multi-Adapter Network with Hierarchical Divergence Loss	Nov 14, 2020	Representation LearningRgb-T Tracking	—Unverified
Robust Visual Tracking via Statistical Positive Sample Generation and Gradient Aware Learning	Nov 9, 2020	DiversityVisual Tracking	—Unverified
Machine learning methods for the detection of polar lows in satellite mosaics: major issues and their solutions	Nov 9, 2020	Visual Tracking	—Unverified
Leveraging Tacit Information Embedded in CNN Layers for Visual Tracking	Oct 2, 2020	Visual Tracking	—Unverified
Adversarial Semi-Supervised Multi-Domain Tracking	Sep 30, 2020	Self-Supervised LearningVisual Tracking	—Unverified
Adaptive Exploitation of Pre-trained Deep Convolutional Neural Networks for Robust Visual Tracking	Aug 29, 2020	AttributeVisual Tracking	—Unverified
Online Visual Tracking with One-Shot Context-Aware Domain Adaptation	Aug 22, 2020	Domain AdaptationVisual 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