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 76100 of 341 papers

TitleStatusHype
Energy-Based Models for Deep Probabilistic RegressionCode1
Learning Spatial-Frequency Transformer for Visual Object TrackingCode1
Deformable Siamese Attention Networks for Visual Object TrackingCode1
IoU Attack: Towards Temporally Coherent Black-Box Adversarial Attack for Visual Object TrackingCode1
Enhancing Nighttime UAV Tracking with Light Distribution SuppressionCode1
Tracking-by-Trackers with a Distilled and Reinforced ModelCode1
Integrating Boxes and Masks: A Multi-Object Framework for Unified Visual Tracking and SegmentationCode1
Learning to Fuse Asymmetric Feature Maps in Siamese TrackersCode1
Mobile Vision Transformer-based Visual Object TrackingCode1
High-Performance Long-Term Tracking with Meta-UpdaterCode1
NeighborTrack: Improving Single Object Tracking by Bipartite Matching with Neighbor TrackletsCode1
Learning Spatio-Appearance Memory Network for High-Performance Visual TrackingCode1
Backbone is All Your Need: A Simplified Architecture for Visual Object TrackingCode1
AiATrack: Attention in Attention for Transformer Visual TrackingCode1
Global Instance Tracking: Locating Target More Like HumansCode1
How to Train Your Energy-Based Model for RegressionCode1
Do Different Tracking Tasks Require Different Appearance Models?Code1
Cross-Drone Transformer Network for Robust Single Object TrackingCode1
DropMAE: Masked Autoencoders with Spatial-Attention Dropout for Tracking TasksCode1
Generalized Relation Modeling for Transformer TrackingCode1
Improving Underwater Visual Tracking With a Large Scale Dataset and Image EnhancementCode1
Rethinking Self-supervised Correspondence Learning: A Video Frame-level Similarity PerspectiveCode1
Revealing the Dark Secrets of Masked Image ModelingCode1
Transformer TrackingCode1
Correlation-Embedded Transformer Tracking: A Single-Branch FrameworkCode1
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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