Mining Latent Classes for Few-shot Segmentation
Author:
Affiliation:
1. Nanjing University,State Key Laboratory for Novel Software Technology
2. Tencent
3. Southeast University,Key Lab of Computer Network and Information Integration (Ministry of Education)
Funder
National Key Research and Development Program of China
China Postdoctoral Science Foundation
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9709627/9709628/09711446.pdf?arnumber=9711446
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5. Self-supervision with Superpixels: Training Few-Shot Medical Image Segmentation Without Annotation
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