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

Showing 176200 of 341 papers

TitleStatusHype
Transformer Meets Tracker: Exploiting Temporal Context for Robust Visual TrackingCode1
Higher Performance Visual Tracking with Dual-Modal Localization0
Real-Time Visual Object Tracking via Few-Shot Learning0
PatchNet -- Short-range Template Matching for Efficient Video ProcessingCode1
Phase Space Reconstruction Network for Lane Intrusion Action Recognition0
SSTVOS: Sparse Spatiotemporal Transformers for Video Object SegmentationCode1
All-Day Object Tracking for Unmanned Aerial VehicleCode1
Semi-Automatic Annotation For Visual Object TrackingCode0
Temporally-Transferable Perturbations: Efficient, One-Shot Adversarial Attacks for Online Visual Object Trackers0
Rotation Equivariant Siamese Networks for TrackingCode1
Alpha-Refine: Boosting Tracking Performance by Precise Bounding Box EstimationCode1
Multi-modal Visual Tracking: Review and Experimental ComparisonCode1
Learning to Fuse Asymmetric Feature Maps in Siamese TrackersCode1
Is First Person Vision Challenging for Object Tracking?0
Siamese Tracking with Lingual Object ConstraintsCode0
AOT: Appearance Optimal Transport Based Identity Swapping for Forgery Detection0
Learning Spatio-Appearance Memory Network for High-Performance Visual TrackingCode1
AAA: Adaptive Aggregation of Arbitrary Online Trackers with Theoretical Performance GuaranteeCode1
Ground-truth or DAER: Selective Re-query of Secondary InformationCode0
Hard Occlusions in Visual Object Tracking0
Visual Object Tracking by Segmentation with Graph Convolutional Network0
Learning Global Structure Consistency for Robust Object Tracking0
Learning Consistency Pursued Correlation Filters for Real-Time UAV Tracking0
Integration of the 3D Environment for UAV Onboard Visual Object Tracking0
An Exploration of Target-Conditioned Segmentation Methods for Visual Object Trackers0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SPMTrack-GAUC77.4Unverified
2SPMTrack-LAUC76.8Unverified
3MCITrack-L384AUC76.6Unverified
4LoRAT-g-378AUC76.2Unverified
5MCITrack-B224AUC75.3Unverified
6DAM4SAMAUC75.1Unverified
7LoRAT-L-378AUC75.1Unverified
8SPMTrack-BAUC74.9Unverified
9RTracker-LAUC74.7Unverified
10SAMURAI-LAUC74.2Unverified
#ModelMetricClaimedVerifiedStatus
1SAMURAI-LAverage Overlap81.7Unverified
2DAM4SAMAverage Overlap81.1Unverified
3SPMTrack-GAverage Overlap81Unverified
4MITSAverage Overlap80.4Unverified
5MCITrack-L384Average Overlap80Unverified
6SPMTrack-LAverage Overlap80Unverified
7ARTrackV2-LAverage Overlap79.5Unverified
8LoRAT-g-378Average Overlap78.9Unverified
9ARTrack-LAverage Overlap78.5Unverified
10ODTrack-LAverage Overlap78.2Unverified
#ModelMetricClaimedVerifiedStatus
1DropTrackNormalized Precision88.9Unverified
2MCITrack-L384Accuracy87.9Unverified
3SPMTrack-GAccuracy87.3Unverified
4SPMTrack-LAccuracy86.9Unverified
5MCITrack-B224Accuracy86.3Unverified
6ODTrack-LAccuracy86.1Unverified
7ARTrackV2-LAccuracy86.1Unverified
8SPMTrack-BAccuracy86.1Unverified
9MixViT-L(ConvMAE)Accuracy86.1Unverified
10LoRAT-g-378Accuracy86Unverified
#ModelMetricClaimedVerifiedStatus
1SAMURAI-LAUC61Unverified
2DAM4SAMAUC60.9Unverified
3LoRAT-L-378AUC56.6Unverified
4LoRAT-g-378AUC56.5Unverified
5UNINEXT-HAUC56.2Unverified
6MCITrack-L384AUC55.7Unverified
7RTracker-LAUC54.9Unverified
8MCITrack-B224AUC54.6Unverified
9ODTrack-LAUC53.9Unverified
10ARTrackV2-LAUC53.4Unverified
#ModelMetricClaimedVerifiedStatus
1GradNetPrecision0.86Unverified
2SPMTrack-BAUC0.73Unverified
3ODTrack-LAUC0.72Unverified
4ODTrack-BAUC0.72Unverified
5STMTrackAUC0.72Unverified
6SAMURAI-LAUC0.72Unverified
7PiVOT-LAUC0.71Unverified
8HIPTrackAUC0.71Unverified
9KeepTrackAUC0.71Unverified
10TRASFUSTAUC0.7Unverified
#ModelMetricClaimedVerifiedStatus
1LoRAT-g-378AUC0.74Unverified
2NeighborTrack-OSTrackAUC0.73Unverified
3LoRAT-L-378AUC0.73Unverified
4SPMTrack-BAUC0.72Unverified
5ARTrackV2-LAUC0.72Unverified
6ARTrack-LAUC0.71Unverified
7OSTrack -384AUC0.71Unverified
8AiATrackAUC0.71Unverified
9HIPTrackAUC0.71Unverified
10MixFormerAUC0.7Unverified
#ModelMetricClaimedVerifiedStatus
1MCITrack-L384AUC65.3Unverified
2SPMTrack-GAUC64.7Unverified
3SPMTrack-LAUC63.7Unverified
4MCITrack-B224AUC62.9Unverified
5LoRAT-g-378AUC62.7Unverified
6LoRAT-L-378AUC62.3Unverified
7SPMTrack-BAUC62Unverified
8ODTrack-LAUC61.7Unverified
9ARTrackV2-LAUC61.6Unverified
10ODTrack-BAUC60.9Unverified
#ModelMetricClaimedVerifiedStatus
1SiamMask_EExpected Average Overlap (EAO)0.45Unverified
2SiamFC++Expected Average Overlap (EAO)0.43Unverified
3SiamRPN++_RExpected Average Overlap (EAO)0.42Unverified
4THOR-SiamRPNExpected Average Overlap (EAO)0.42Unverified
5SiamRPN++Expected Average Overlap (EAO)0.41Unverified
6THOR-SiamMaskExpected Average Overlap (EAO)0.41Unverified