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 2128 of 28 papers

TitleStatusHype
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
Show:102550
← PrevPage 3 of 3Next →

Benchmark Results

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