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Open Vocabulary Panoptic Segmentation On

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PQ

Ergebnisse

Leistungsergebnisse verschiedener Modelle zu diesem Benchmark

Modellname
PQ
Paper TitleRepository
PosSAM29.2PosSAM: Panoptic Open-vocabulary Segment Anything
ODISE (Label)22.6Open-Vocabulary Panoptic Segmentation with Text-to-Image Diffusion Models
ODISE(Caption)23.4Open-Vocabulary Panoptic Segmentation with Text-to-Image Diffusion Models
MAFT+27.1Collaborative Vision-Text Representation Optimizing for Open-Vocabulary Segmentation
MaskCLIP15.1Extract Free Dense Labels from CLIP
CLIPSelf23.7CLIPSelf: Vision Transformer Distills Itself for Open-Vocabulary Dense Prediction-
FreeSeg16.3FreeSeg: Unified, Universal and Open-Vocabulary Image Segmentation-
FC-CLIP26.8Convolutions Die Hard: Open-Vocabulary Segmentation with Single Frozen Convolutional CLIP
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