Mar 10, 2022 · As a powerful way of realizing semi-supervised segmentation, the cross supervision method learns cross consistency based on independent ensemble models using ...

We propose uncertainty-guided learning for self cross supervision to improve the performance of the model, which uses the uncertainty information as the ...

Mar 11, 2023 · As a powerful way of realizing semi-supervised segmentation, the cross supervision method learns cross consistency based on independent ensemble models.

As a powerful way of realizing semi-supervised segmentation, the cross supervision method learns cross consistency based on independent ensemble models ...

Mar 11, 2023 · As a powerful way of realizing semi-supervised segmentation, the cross supervision method learns cross consistency based on independent ...

This work proposes a novel cross supervision method, namely uncertainty-guided self cross supervision (USCS), which first design a multi-input multi-output ...

As a powerful way of realizing semi-supervised segmentation, the cross supervision method learns cross consistency based on independent ensemble models ...

Mar 10, 2022 · As a powerful way of realizing semi-supervised segmentation, the cross supervision method learns cross consistency based on independent ...

[CVPR 2022] UCC: Uncertainty guided Cross-head Co-training for Semi-Supervised Semantic Segmentation [Paper]. [TPAMI 2022] Querying Labeled for Unlabeled- Cross ...

We present a novel learning framework called Uncertainty guided Cross-head Cotraining (UCC) for semi-supervised semantic segmentation. Our framework introduces ...