HyperAI
HomeNewsLatest PapersTutorialsDatasetsWikiSOTALLM ModelsGPU LeaderboardEvents
Search
About
HyperAI

Multi Object Tracking And Segmentation On 3

Metrics

mMOTSA

Results

Performance results of various models on this benchmark

Model Name
mMOTSA
Paper TitleRepository
QDTrack-mots-fix23.5Prototypical Cross-Attention Networks for Multiple Object Tracking and Segmentation
SortIoU10.3Prototypical Cross-Attention Networks for Multiple Object Tracking and Segmentation
MaskTrackRCNN12.3Prototypical Cross-Attention Networks for Multiple Object Tracking and Segmentation
PCAN27.4Prototypical Cross-Attention Networks for Multiple Object Tracking and Segmentation
QDTrack-mots22.5Prototypical Cross-Attention Networks for Multiple Object Tracking and Segmentation
STEm-Seg12.2Prototypical Cross-Attention Networks for Multiple Object Tracking and Segmentation
UNINEXT-H35.7Universal Instance Perception as Object Discovery and Retrieval
Unicorn29.6Towards Grand Unification of Object Tracking
0 of 8 row(s) selected.