SOTAVerified

Multi-Object Tracking and Segmentation

Multiple object tracking and segmentation requires detecting, tracking, and segmenting objects belonging to a set of given classes.

(Image and definition credit: Prototypical Cross-Attention Networks for Multiple Object Tracking and Segmentation, NeurIPS 2021, Spotlight )

Papers

Showing 128 of 28 papers

TitleStatusHype
Temporal-Enhanced Multimodal Transformer for Referring Multi-Object Tracking and Segmentation0
CML-MOTS: Collaborative Multi-task Learning for Multi-Object Tracking and Segmentation0
Deep Learning Techniques for Video Instance Segmentation: A Survey0
Universal Instance Perception as Object Discovery and RetrievalCode3
Context-Aware Relative Object Queries To Unify Video Instance and Panoptic SegmentationCode1
Track Targets by Dense Spatio-Temporal Position Encoding0
BURST: A Benchmark for Unifying Object Recognition, Segmentation and Tracking in VideoCode1
Multi-Object Tracking and Segmentation via Neural Message PassingCode1
Towards Grand Unification of Object TrackingCode2
D2Conv3D: Dynamic Dilated Convolutions for Object Segmentation in VideosCode1
PolyTrack: Tracking with Bounding PolygonsCode1
Multi-Object Tracking and Segmentation with a Space-Time Memory Network0
DG-Labeler and DGL-MOTS Dataset: Boost the Autonomous Driving Perception0
MeNToS: Tracklets Association with a Space-Time Memory Network0
Do Different Tracking Tasks Require Different Appearance Models?Code1
Prototypical Cross-Attention Networks for Multiple Object Tracking and SegmentationCode1
EagerMOT: 3D Multi-Object Tracking via Sensor FusionCode1
MOTS R-CNN: Cosine-margin-triplet loss for multi-object tracking0
Weakly Supervised Multi-Object Tracking and Segmentation0
Assignment-Space-Based Multi-Object Tracking and SegmentationCode1
Continuous Copy-Paste for One-Stage Multi-Object Tracking and SegmentationCode1
Online Multi-Object Tracking and Segmentation with GMPHD Filter and Mask-based Affinity FusionCode1
ReMOTS: Self-Supervised Refining Multi-Object Tracking and Segmentation0
PointTrack++ for Effective Online Multi-Object Tracking and SegmentationCode1
Segment as Points for Efficient Online Multi-Object Tracking and SegmentationCode1
Learning Multi-Object Tracking and Segmentation from Automatic Annotations0
MOTS: Multi-Object Tracking and Segmentation0
BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask LearningCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1UNINEXT-HmMOTSA35.7Unverified
2UnicornmMOTSA29.6Unverified
#ModelMetricClaimedVerifiedStatus
1EagerMOTAssA73.75Unverified