Noise2Seg: Automatic Few-Shot Selection from Noisy Web Data for Underwater Tropical Fishes Segmentation
Author:
Affiliation:
1. College of Science and Engineering, Hamad Bin Khalifa University,Doha,Qatar
2. Oslo Metropolitan University,AI Lab,Department of Computer Science,Norway
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10323591/10323546/10323950.pdf?arnumber=10323950
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3. A Survey on Segmentation Techniques for Image Processing
4. Automatic underwater fish species classification with limited data using few-shot learning
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