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

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Showing 201–250 of 341 papers

TitleStatusHype
Continuity-Discrimination Convolutional Neural Network for Visual Object Tracking—0
Learning Mobile CNN Feature Extraction Toward Fast Computation of Visual Object Tracking—0
Learning Target Candidate Association to Keep Track of What Not to TrackCode0
Weakly-Supervised Domain Adaptation of Deep Regression Trackers via Reinforced Knowledge Distillation—0
Benchmarking Deep Trackers on Aerial Videos—0
Real-Time Visual Object Tracking via Few-Shot Learning—0
Higher Performance Visual Tracking with Dual-Modal Localization—0
Phase Space Reconstruction Network for Lane Intrusion Action Recognition—0
Semi-Automatic Annotation For Visual Object TrackingCode0
Temporally-Transferable Perturbations: Efficient, One-Shot Adversarial Attacks for Online Visual Object Trackers—0
Is First Person Vision Challenging for Object Tracking?—0
Siamese Tracking with Lingual Object ConstraintsCode0
AOT: Appearance Optimal Transport Based Identity Swapping for Forgery Detection—0
Ground-truth or DAER: Selective Re-query of Secondary InformationCode0
Hard Occlusions in Visual Object Tracking—0
Visual Object Tracking by Segmentation with Graph Convolutional Network—0
Learning Global Structure Consistency for Robust Object Tracking—0
Learning Consistency Pursued Correlation Filters for Real-Time UAV Tracking—0
Integration of the 3D Environment for UAV Onboard Visual Object Tracking—0
An Exploration of Target-Conditioned Segmentation Methods for Visual Object Trackers—0
Efficient Adversarial Attacks for Visual Object Tracking—0
Tracking the Untrackable—0
Correlation filter tracking with adaptive proposal selection for accurate scale estimation—0
Optimisation of a Siamese Neural Network for Real-Time Energy Efficient Object Tracking—0
Motion Prediction in Visual Object Tracking—0
Object Tracking through Residual and Dense LSTMs—0
Accurate Anchor Free Tracking—0
Multiple-Vehicle Tracking in the Highway Using Appearance Model and Visual Object Tracking—0
D3S - A Discriminative Single Shot Segmentation Tracker—0
One-Shot Adversarial Attacks on Visual Tracking With Dual Attention—0
AFAT: Adaptive Failure-Aware Tracker for Robust Visual Object Tracking—0
Robust Visual Object Tracking with Two-Stream Residual Convolutional Networks—0
Effective Fusion of Deep Multitasking Representations for Robust Visual Tracking—0
DMV: Visual Object Tracking via Part-level Dense Memory and Voting-based Retrieval—0
SiamSNN: Siamese Spiking Neural Networks for Energy-Efficient Object Tracking—0
Training-Set Distillation for Real-Time UAV Object TrackingCode0
CRVOS: Clue Refining Network for Video Object SegmentationCode0
Rethinking Convolutional Features in Correlation Filter Based Tracking—0
Kernel learning for visual perceptionCode0
An Accelerated Correlation Filter Tracker—0
Siamese Natural Language Tracker: Tracking by Natural Language Descriptions with Siamese TrackersCode0
Siam R-CNN: Visual Tracking by Re-DetectionCode0
D3S -- A Discriminative Single Shot Segmentation TrackerCode0
On the Interaction Between Deep Detectors and Siamese Trackers in Video Surveillance—0
SPARK: Spatial-aware Online Incremental Attack Against Visual TrackingCode0
CDTB: A Color and Depth Visual Object Tracking Dataset and Benchmark—0
CapsuleVOS: Semi-Supervised Video Object Segmentation Using Capsule RoutingCode0
GradNet: Gradient-Guided Network for Visual Object TrackingCode0
Discriminative and Robust Online Learning for Siamese Visual TrackingCode0
High Performance Visual Object Tracking with Unified Convolutional Networks—0
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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