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 151–160 of 525 papers

Title	Date	Tasks	Status
Deep Learning-based Spacecraft Relative Navigation Methods: A Survey	Aug 19, 2021	Deep LearningSurvey	—Unverified
Deep Instance Segmentation and Visual Servoing to Play Jenga with a Cost-Effective Robotic System	Nov 15, 2022	Instance SegmentationSemantic Segmentation	—Unverified
Deep Learning-Based Multiple Object Visual Tracking on Embedded System for IoT and Mobile Edge Computing Applications	Jul 31, 2018	BenchmarkingDeep Learning	—Unverified
Autoregressive Queries for Adaptive Tracking with Spatio-Temporal Transformers	Jan 1, 2024	Visual Tracking	—Unverified
Deep Flow Collaborative Network for Online Visual Tracking	Nov 5, 2019	Optical Flow EstimationScheduling	—Unverified
Deep Convolutional Likelihood Particle Filter for Visual Tracking	Jun 11, 2020	Visual Tracking	—Unverified
Autoregressive Sequential Pretraining for Visual Tracking	Jan 1, 2025	ObjectObject Tracking	—Unverified
Higher Performance Visual Tracking with Dual-Modal Localization	Mar 18, 2021	Object Trackingregression	—Unverified
Improving Accuracy and Generalization for Efficient Visual Tracking	Nov 28, 2024	CPUTest-time Adaptation	—Unverified
Deep Convolutional Correlation Iterative Particle Filter for Visual Tracking	Jul 7, 2021	ClusteringPosition	—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