HyperAI초신경

홈 뉴스 최신 연구 논문 튜토리얼 데이터셋 백과사전 SOTA LLM 모델 GPU 랭킹 컨퍼런스

한국어

HyperAI초신경

Multi Object Tracking And Segmentation On 3

평가 지표

mMOTSA

평가 결과

이 벤치마크에서 각 모델의 성능 결과

모델 이름	mMOTSA	Paper Title	Repository
QDTrack-mots-fix	23.5	Prototypical Cross-Attention Networks for Multiple Object Tracking and Segmentation	-
SortIoU	10.3	Prototypical Cross-Attention Networks for Multiple Object Tracking and Segmentation	-
MaskTrackRCNN	12.3	Prototypical Cross-Attention Networks for Multiple Object Tracking and Segmentation	-
PCAN	27.4	Prototypical Cross-Attention Networks for Multiple Object Tracking and Segmentation	-
QDTrack-mots	22.5	Prototypical Cross-Attention Networks for Multiple Object Tracking and Segmentation	-
STEm-Seg	12.2	Prototypical Cross-Attention Networks for Multiple Object Tracking and Segmentation	-
UNINEXT-H	35.7	Universal Instance Perception as Object Discovery and Retrieval	-
Unicorn	29.6	Towards Grand Unification of Object Tracking	-

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