Self-regularized prototypical network for few-shot semantic segmentation
The deep CNNs in image semantic segmentation typically require a large number of densely-annotated images for training and have difficulties in generalizing to unseen object categories. Therefore, few-shot segmentation has been developed to perform segmentation with just a few annotated examples....
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格式: | Article |
語言: | English |
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2023
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在線閱讀: | https://hdl.handle.net/10356/164665 |
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