SOTAVerified

Multiple Object Tracking

Multiple Object Tracking is the problem of automatically identifying multiple objects in a video and representing them as a set of trajectories with high accuracy.

Source: SOT for MOT

Papers

Showing 150 of 318 papers

TitleStatusHype
Matching Anything by Segmenting AnythingCode5
SiamMask: A Framework for Fast Online Object Tracking and SegmentationCode4
Trackastra: Transformer-based cell tracking for live-cell microscopyCode4
PP-YOLOE: An evolved version of YOLOCode4
Multiple Object Tracking as ID PredictionCode3
MCTrack: A Unified 3D Multi-Object Tracking Framework for Autonomous DrivingCode3
BoostTrack++: using tracklet information to detect more objects in multiple object trackingCode3
BoostTrack: boosting the similarity measure and detection confidence for improved multiple object trackingCode3
Universal Instance Perception as Object Discovery and RetrievalCode3
Observation-Centric SORT: Rethinking SORT for Robust Multi-Object TrackingCode3
MeMOTR: Long-Term Memory-Augmented Transformer for Multi-Object TrackingCode2
RaTrack: Moving Object Detection and Tracking with 4D Radar Point CloudCode2
GTA: Global Tracklet Association for Multi-Object Tracking in SportsCode2
Delving into the Trajectory Long-tail Distribution for Muti-object TrackingCode2
SportsMOT: A Large Multi-Object Tracking Dataset in Multiple Sports ScenesCode2
Virtual Sparse Convolution for Multimodal 3D Object DetectionCode2
Towards Grand Unification of Object TrackingCode2
UCMCTrack: Multi-Object Tracking with Uniform Camera Motion CompensationCode2
Towards Real-Time Multi-Object TrackingCode2
Tracking Objects as PointsCode2
QDTrack: Quasi-Dense Similarity Learning for Appearance-Only Multiple Object TrackingCode2
OVTR: End-to-End Open-Vocabulary Multiple Object Tracking with TransformerCode2
Simple Online and Realtime TrackingCode2
Hybrid-SORT: Weak Cues Matter for Online Multi-Object TrackingCode2
Visible-Thermal Multiple Object Tracking: Large-scale Video Dataset and Progressive Fusion ApproachCode2
MOTRv2: Bootstrapping End-to-End Multi-Object Tracking by Pretrained Object DetectorsCode2
SMILEtrack: SiMIlarity LEarning for Occlusion-Aware Multiple Object TrackingCode2
The 1st-place Solution for ECCV 2022 Multiple People Tracking in Group Dance ChallengeCode2
BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask LearningCode1
Hard to Track Objects with Irregular Motions and Similar Appearances? Make It Easier by Buffering the Matching SpaceCode1
Heterogeneous Graph Transformer for Multiple Tiny Object Tracking in RGB-T VideosCode1
Forward Propagation, Backward Regression, and Pose Association for Hand Tracking in the WildCode1
Fooling Detection Alone is Not Enough: First Adversarial Attack against Multiple Object TrackingCode1
Lifted Disjoint Paths with Application in Multiple Object TrackingCode1
GMOT-40: A Benchmark for Generic Multiple Object TrackingCode1
FishMOT: A Simple and Effective Method for Fish Tracking Based on IoU MatchingCode1
History-Aware Transformation of ReID Features for Multiple Object TrackingCode1
Making Higher Order MOT Scalable: An Efficient Approximate Solver for Lifted Disjoint PathsCode1
Monocular Quasi-Dense 3D Object TrackingCode1
Learning a Neural Solver for Multiple Object TrackingCode1
EnsembleMOT: A Step towards Ensemble Learning of Multiple Object TrackingCode1
DyGLIP: A Dynamic Graph Model with Link Prediction for Accurate Multi-Camera Multiple Object TrackingCode1
Learnable Graph Matching: Incorporating Graph Partitioning with Deep Feature Learning for Multiple Object TrackingCode1
Learning a Neural Solver for Multiple Object TrackingCode1
MM-Tracker: Motion Mamba with Margin Loss for UAV-platform Multiple Object TrackingCode1
EagerMOT: 3D Multi-Object Tracking via Sensor FusionCode1
TransCenter: Transformers with Dense Representations for Multiple-Object TrackingCode1
DARTH: Holistic Test-time Adaptation for Multiple Object TrackingCode1
Fooling Detection Alone is Not Enough: Adversarial Attack against Multiple Object TrackingCode1
3D-POP - An automated annotation approach to facilitate markerless 2D-3D tracking of freely moving birds with marker-based motion captureCode1
Show:102550
← PrevPage 1 of 7Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SRK ODESAMOTA90.03Unverified
2MOSTFusionMOTA84.83Unverified
3mmMOT-normalMOTA84.77Unverified
43DTMOTA84.52Unverified
5Mono3DTMOTA84.52Unverified
6RRC-IIITHMOTA84.24Unverified
7RobMOT (Dynamic)HOTA81.8Unverified
8RobMOTHOTA81.76Unverified
9MCTrackHOTA81.07Unverified
10KFDLHOTA81.06Unverified
#ModelMetricClaimedVerifiedStatus
1ByteTrackmMOTA45.5Unverified
2UNINEXT-HmMOTA44.2Unverified
3MOTRv2mMOTA43.6Unverified
4QDTrackmMOTA42.1Unverified
5ContrasTRmMOTA41.7Unverified
6UnicornmMOTA41.2Unverified
7TETermMOTA39.1Unverified
8QDTrackmMOTA36.6Unverified
9Adaptive-searching -windows TrackermMOTA34.4Unverified
#ModelMetricClaimedVerifiedStatus
1ContrasTRmMOTA42.8Unverified
2SUSHImMOTA40.2Unverified
3ByteTrackmMOTA40.1Unverified
4QDtrackmMOTA35.6Unverified
5Yu et al.mMOTA26.3Unverified
#ModelMetricClaimedVerifiedStatus
1PP-TrackingMOTA72.6Unverified
2OC-SORTMOTA67.9Unverified
3HeadHunter-TMOTA63.6Unverified
4TracktorMOTA58.9Unverified
5SORTMOTA46.4Unverified
#ModelMetricClaimedVerifiedStatus
1MOTIP (Deformable DETR, with SportsMOT val)HOTA75.2Unverified
2TrackSSMHOTA74.4Unverified
3MOTIP (Deformable DETR)HOTA71.9Unverified
#ModelMetricClaimedVerifiedStatus
1MCTrackHOTA82.75Unverified
2BiTrackHOTA82.7Unverified
#ModelMetricClaimedVerifiedStatus
1SIRAMOTA47.79Unverified
2TempoRadarMOTA37.91Unverified
#ModelMetricClaimedVerifiedStatus
1QDTrackMOTA55.6Unverified
2RetinaTrackMOTA44.92Unverified
#ModelMetricClaimedVerifiedStatus
1MAC-SORTHOTA58.58Unverified
#ModelMetricClaimedVerifiedStatus
1EB & TADNMOTA23.7Unverified
#ModelMetricClaimedVerifiedStatus
1HandLerMOTA70Unverified