Open Vocabulary Panoptic Segmentation On

평가 결과

이 벤치마크에서 각 모델의 성능 결과

모델 이름	PQ	Paper Title	Repository
PosSAM	29.2	PosSAM: Panoptic Open-vocabulary Segment Anything	-
ODISE (Label)	22.6	Open-Vocabulary Panoptic Segmentation with Text-to-Image Diffusion Models	-
ODISE(Caption)	23.4	Open-Vocabulary Panoptic Segmentation with Text-to-Image Diffusion Models	-
MAFT+	27.1	Collaborative Vision-Text Representation Optimizing for Open-Vocabulary Segmentation	-
MaskCLIP	15.1	Extract Free Dense Labels from CLIP	-
CLIPSelf	23.7	CLIPSelf: Vision Transformer Distills Itself for Open-Vocabulary Dense Prediction	-
FreeSeg	16.3	FreeSeg: Unified, Universal and Open-Vocabulary Image Segmentation	-
FC-CLIP	26.8	Convolutions Die Hard: Open-Vocabulary Segmentation with Single Frozen Convolutional CLIP	-

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