Dec 16, 2020 · We propose an unsupervised image segmentation model based on the Mutual Mean-Teaching (MMT) framework to produce more stable results.
An unsupervised image segmentation model based on the Mutual Mean-Teaching (MMT) framework is proposed to produce more stable results and achieves better ...
Unsupervised Image Segmentation using Mutual Mean-Teaching
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Unsupervised image segmentation aims at assigning the pixels with similar feature into a same cluster without annotation, which is an important task in ...
Unsupervised image segmentation aims at assigning the pixels with similar feature into a same cluster without annotation, which is an important task in computer ...
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Unsupervised. Domain Adaptation (UDA) is therefore proposed to adapt the model trained on the source image do- main (dataset) with identity labels to the target ...
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Jul 20, 2020 · A novel end-to-end network of unsupervised image segmentation that consists of normalization and an argmax function for differentiable clustering
Unsupervised image segmentation aims at assigning the pixels with similar feature into a same cluster without annotation, which is an important task in computer ...
[ICLR/2020] Mutual Mean-Teaching: Pseudo Label Refinery for Unsupervised Domain Adaptation on Person Re-identification: dual mean teacher with contrastive ...
Dec 16, 2020 · Unsupervised image segmentation aims at assigning the pixels with similar feature into a same cluster without annotation, ...
Aug 10, 2024 · This paper proposed a cooperative Cross-head mutual mean-teaching network (CMMT-Net) to synergistically integrate data-level, feature-level, ...