CRCNet: few-shot segmentation with cross-reference and region–global conditional networks
Few-shot segmentation aims to learn a segmentation model that can be generalized to novel classes with only a few training images. In this paper, we propose a Cross-Reference and Local–Global Conditional Networks (CRCNet) for few-shot segmentation. Unlike previous works that only predict the query i...
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Main Authors: | Liu, Weide, Zhang, Chi, Lin, Guosheng, Liu, Fayao |
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Other Authors: | School of Computer Science and Engineering |
Format: | Article |
Language: | English |
Published: |
2023
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Subjects: | |
Online Access: | https://hdl.handle.net/10356/170422 |
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Institution: | Nanyang Technological University |
Language: | English |
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