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SotA/Computer Vision/Open Vocabulary Semantic Segmentation

Open Vocabulary Semantic Segmentation

16 benchmarks113 papers

Open-vocabulary semantic segmentation models aim to accurately assign a semantic label to each pixel in an image from a set of arbitrary open-vocabulary texts.

Benchmarks

Open Vocabulary Semantic Segmentation on PASCAL Context-59

mIoU

Open Vocabulary Semantic Segmentation on ADE20K-150

mIoU

Open Vocabulary Semantic Segmentation on ADE20K-847

mIoU

Open Vocabulary Semantic Segmentation on PascalVOC-20

mIoUhIoU

Open Vocabulary Semantic Segmentation on PASCAL Context-459

mIoU

Open Vocabulary Semantic Segmentation on Cityscapes

mIoU

Open Vocabulary Semantic Segmentation on COCO-Stuff-171

mIoUHIoU

Open Vocabulary Semantic Segmentation on PascalVOC-20b

mIoU

Open Vocabulary Semantic Segmentation on iSAID

mIoU-

Open Vocabulary Semantic Segmentation on Cityscape-171

mIoU

Open Vocabulary Semantic Segmentation on FAST

mIoU

Open Vocabulary Semantic Segmentation on ISPRS Potsdam

mIoU

Open Vocabulary Semantic Segmentation on SIOR

mIoU

Open Vocabulary Semantic Segmentation on SOTA

mIoU