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 276300 of 341 papers

TitleStatusHype
Visual Object Tracking across Diverse Data Modalities: A Review0
Single Object Tracking Research: A Survey0
Visual Object Tracking based on Adaptive Siamese and Motion Estimation Network0
Visual Object Tracking by Segmentation with Graph Convolutional Network0
Visual Object Tracking in First Person Vision0
Blazingly Fast Video Object Segmentation with Pixel-Wise Metric Learning0
Spectral Filter Tracking0
SPM-Tracker: Series-Parallel Matching for Real-Time Visual Object Tracking0
Beyond standard benchmarks: Parameterizing performance evaluation in visual object tracking0
SRRT: Exploring Search Region Regulation for Visual Object Tracking0
Benchmarking Deep Trackers on Aerial Videos0
BATMAN: Bilateral Attention Transformer in Motion-Appearance Neighboring Space for Video Object Segmentation0
Visual Object Tracking on Multi-modal RGB-D Videos: A Review0
BASE: Probably a Better Approach to Multi-Object Tracking0
BackTrack: Robust template update via Backward Tracking of candidate template0
AVisT: A Benchmark for Visual Object Tracking in Adverse Visibility0
Autoregressive Sequential Pretraining for Visual Tracking0
Visual object tracking performance measures revisited0
Real-time Visual Object Tracking with Natural Language Description0
Autoregressive Queries for Adaptive Tracking with Spatio-TemporalTransformers0
Temporally-Transferable Perturbations: Efficient, One-Shot Adversarial Attacks for Online Visual Object Trackers0
10,000+ Times Accelerated Robust Subset Selection (ARSS)0
Towards a Better Match in Siamese Network Based Visual Object Tracker0
Towards Efficient Training with Negative Samples in Visual Tracking0
AttTrack: Online Deep Attention Transfer for Multi-object Tracking0
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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