HyperAI
HomeNewsLatest PapersTutorialsDatasetsWikiSOTALLM ModelsGPU LeaderboardEvents
Search
About
HyperAI

Open Vocabulary Panoptic Segmentation On

Metrics

PQ

Results

Performance results of various models on this benchmark

Model Name
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
0 of 8 row(s) selected.