SOTAVerified

Visual Object Tracking

Visual Object Tracking is an important research topic in computer vision, image understanding and pattern recognition. Given the initial state (centre location and scale) of a target in the first frame of a video sequence, the aim of Visual Object Tracking is to automatically obtain the states of the object in the subsequent video frames.

Source: Learning Adaptive Discriminative Correlation Filters via Temporal Consistency Preserving Spatial Feature Selection for Robust Visual Object Tracking

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 151–200 of 341 papers

TitleStatusHype
RTrack: Accelerating Convergence for Visual Object Tracking via Pseudo-Boxes Exploration—0
BASE: Probably a Better Approach to Multi-Object Tracking—0
Leveraging the Power of Data Augmentation for Transformer-based Tracking—0
Towards Efficient Training with Negative Samples in Visual Tracking—0
Efficient Training for Visual Tracking with Deformable Transformer—0
BackTrack: Robust template update via Backward Tracking of candidate template—0
Learning Spatial Distribution of Long-Term Trackers Scores—0
Heteroskedastic Geospatial Tracking with Distributed Camera Networks—0
Tracking by 3D Model Estimation of Unknown Objects in Videos—0
SiamTHN: Siamese Target Highlight Network for Visual Tracking—0
EgoTracks: A Long-term Egocentric Visual Object Tracking DatasetCode0
Foreground-Background Distribution Modeling Transformer for Visual Object Tracking—0
Event-based Visual Tracking in Dynamic EnvironmentsCode0
Improving Siamese Based Trackers with Light or No Training through Multiple Templates and Temporal Network—0
3D-SiamMask: Vision-Based Multi-Rotor Aerial-Vehicle Tracking for a Moving ObjectCode0
AttTrack: Online Deep Attention Transfer for Multi-object Tracking—0
Visual Object Tracking in First Person Vision—0
TCAM: Temporal Class Activation Maps for Object Localization in Weakly-Labeled Unconstrained VideosCode0
AVisT: A Benchmark for Visual Object Tracking in Adverse VisibilityCode0
BATMAN: Bilateral Attention Transformer in Motion-Appearance Neighboring Space for Video Object Segmentation—0
Local Perception-Aware Transformer for Aerial TrackingCode0
DIMBA: Discretely Masked Black-Box Attack in Single Object Tracking—0
SRRT: Exploring Search Region Regulation for Visual Object Tracking—0
0/1 Deep Neural Networks via Block Coordinate Descent—0
Object Tracking Using Siamese Network-Based Reinforcement Learning—0
Towards real-time and energy efficient Siamese tracking -- a hardware-software approach—0
CoCoLoT: Combining Complementary Trackers in Long-Term Visual Tracking—0
A Bayesian Detect to Track System for Robust Visual Object Tracking and Semi-Supervised Model Learning—0
Single Object Tracking Research: A Survey—0
Context-aware Visual Tracking with Joint Meta-updating—0
Transforming Model Prediction for TrackingCode0
Efficient universal shuffle attack for visual object tracking—0
Network Comparison Study of Deep Activation Feature Discriminability with Novel Objects—0
A Survey for Deep RGBT Tracking—0
Visual Object Tracking on Multi-modal RGB-D Videos: A Review—0
A Discriminative Single-Shot Segmentation Network for Visual Object Tracking—0
Efficient Visual Tracking with Exemplar TransformersCode0
Visual Object Tracking with Discriminative Filters and Siamese Networks: A Survey and Outlook—0
Implicit Equivariance in Convolutional NetworksCode0
Learning Dynamic Compact Memory Embedding for Deformable Visual Object Tracking—0
Explicitly Modeling the Discriminability for Instance-Aware Visual Object Tracking—0
Depth-only Object Tracking—0
Pyramid Correlation based Deep Hough Voting for Visual Object Tracking—0
Multi-domain Collaborative Feature Representation for Robust Visual Object Tracking—0
Progressive Unsupervised Learning for Visual Object Tracking—0
EventZoom: Learning To Denoise and Super Resolve Neuromorphic Events—0
SiamRCR: Reciprocal Classification and Regression for Visual Object Tracking—0
Contrastive Learning of Image Representations with Cross-Video Cycle-Consistency—0
Two stages for visual object tracking—0
DeepMix: Online Auto Data Augmentation for Robust Visual Object Tracking—0
Show:102550
← PrevPage 4 of 7Next →
All datasetsLaSOTGOT-10kTrackingNetLaSOT-extOTB-2015UAV123TNL2KVOT2017/18DiDiNeedForSpeedYouTube-VOS 2018AVisT

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SPMTrack-GAUC77.4—Unverified
2SPMTrack-LAUC76.8—Unverified
3MCITrack-L384AUC76.6—Unverified
4LoRAT-g-378AUC76.2—Unverified
5MCITrack-B224AUC75.3—Unverified
6DAM4SAMAUC75.1—Unverified
7LoRAT-L-378AUC75.1—Unverified
8SPMTrack-BAUC74.9—Unverified
9RTracker-LAUC74.7—Unverified
10SAMURAI-LAUC74.2—Unverified
#ModelMetricClaimedVerifiedStatus
1SAMURAI-LAverage Overlap81.7—Unverified
2DAM4SAMAverage Overlap81.1—Unverified
3SPMTrack-GAverage Overlap81—Unverified
4MITSAverage Overlap80.4—Unverified
5MCITrack-L384Average Overlap80—Unverified
6SPMTrack-LAverage Overlap80—Unverified
7ARTrackV2-LAverage Overlap79.5—Unverified
8LoRAT-g-378Average Overlap78.9—Unverified
9ARTrack-LAverage Overlap78.5—Unverified
10ODTrack-LAverage Overlap78.2—Unverified
#ModelMetricClaimedVerifiedStatus
1DropTrackNormalized Precision88.9—Unverified
2MCITrack-L384Accuracy87.9—Unverified
3SPMTrack-GAccuracy87.3—Unverified
4SPMTrack-LAccuracy86.9—Unverified
5MCITrack-B224Accuracy86.3—Unverified
6ODTrack-LAccuracy86.1—Unverified
7ARTrackV2-LAccuracy86.1—Unverified
8SPMTrack-BAccuracy86.1—Unverified
9MixViT-L(ConvMAE)Accuracy86.1—Unverified
10LoRAT-g-378Accuracy86—Unverified
#ModelMetricClaimedVerifiedStatus
1SAMURAI-LAUC61—Unverified
2DAM4SAMAUC60.9—Unverified
3LoRAT-L-378AUC56.6—Unverified
4LoRAT-g-378AUC56.5—Unverified
5UNINEXT-HAUC56.2—Unverified
6MCITrack-L384AUC55.7—Unverified
7RTracker-LAUC54.9—Unverified
8MCITrack-B224AUC54.6—Unverified
9ODTrack-LAUC53.9—Unverified
10ARTrackV2-LAUC53.4—Unverified
#ModelMetricClaimedVerifiedStatus
1GradNetPrecision0.86—Unverified
2SPMTrack-BAUC0.73—Unverified
3ODTrack-LAUC0.72—Unverified
4ODTrack-BAUC0.72—Unverified
5STMTrackAUC0.72—Unverified
6SAMURAI-LAUC0.72—Unverified
7PiVOT-LAUC0.71—Unverified
8HIPTrackAUC0.71—Unverified
9KeepTrackAUC0.71—Unverified
10TRASFUSTAUC0.7—Unverified
#ModelMetricClaimedVerifiedStatus
1LoRAT-g-378AUC0.74—Unverified
2NeighborTrack-OSTrackAUC0.73—Unverified
3LoRAT-L-378AUC0.73—Unverified
4SPMTrack-BAUC0.72—Unverified
5ARTrackV2-LAUC0.72—Unverified
6ARTrack-LAUC0.71—Unverified
7OSTrack -384AUC0.71—Unverified
8AiATrackAUC0.71—Unverified
9HIPTrackAUC0.71—Unverified
10MixFormerAUC0.7—Unverified
#ModelMetricClaimedVerifiedStatus
1MCITrack-L384AUC65.3—Unverified
2SPMTrack-GAUC64.7—Unverified
3SPMTrack-LAUC63.7—Unverified
4MCITrack-B224AUC62.9—Unverified
5LoRAT-g-378AUC62.7—Unverified
6LoRAT-L-378AUC62.3—Unverified
7SPMTrack-BAUC62—Unverified
8ODTrack-LAUC61.7—Unverified
9ARTrackV2-LAUC61.6—Unverified
10ODTrack-BAUC60.9—Unverified
#ModelMetricClaimedVerifiedStatus
1SiamMask_EExpected Average Overlap (EAO)0.45—Unverified
2SiamFC++Expected Average Overlap (EAO)0.43—Unverified
3SiamRPN++_RExpected Average Overlap (EAO)0.42—Unverified
4THOR-SiamRPNExpected Average Overlap (EAO)0.42—Unverified
5SiamRPN++Expected Average Overlap (EAO)0.41—Unverified
6THOR-SiamMaskExpected Average Overlap (EAO)0.41—Unverified