ConformalSAM calibrates SEEM's pseudo-labels with conformal prediction on the labeled set and later switches to self-training, improving semi-supervised semantic segmentation on VOC and ADE20K.
The pascal visual object classes challenge: A retrospective
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ConformalSAM: Unlocking the Potential of Foundational Segmentation Models in Semi-Supervised Semantic Segmentation with Conformal Prediction
ConformalSAM calibrates SEEM's pseudo-labels with conformal prediction on the labeled set and later switches to self-training, improving semi-supervised semantic segmentation on VOC and ADE20K.