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 110 of 28 papers

TitleStatusHype
Universal Instance Perception as Object Discovery and RetrievalCode3
Towards Grand Unification of Object TrackingCode2
Context-Aware Relative Object Queries To Unify Video Instance and Panoptic SegmentationCode1
BURST: A Benchmark for Unifying Object Recognition, Segmentation and Tracking in VideoCode1
Multi-Object Tracking and Segmentation via Neural Message PassingCode1
D2Conv3D: Dynamic Dilated Convolutions for Object Segmentation in VideosCode1
PolyTrack: Tracking with Bounding PolygonsCode1
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
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Benchmark Results

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