Few-Shot Semantic Segmentation with Cyclic Memory Network
Author:
Affiliation:
1. Nanjing University of Science and Technology,China
2. Harbin Institute of Technology,China
3. Mohamed bin Zayed University of AI,UAE
4. Inception Institute of AI,UAE
Funder
National Natural Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9709627/9709628/09711406.pdf?arnumber=9711406
Reference47 articles.
1. Prototype mixture models for few-shot semantic segmentation;yang;ECCV,2020
2. SDE: A Novel Selective, Discriminative and Equalizing Feature Representation for Visual Recognition
3. Zero-Shot Video Object Segmentation via Attentive Graph Neural Networks
4. PANet: Few-Shot Image Semantic Segmentation With Prototype Alignment
5. Few-shot semantic segmentation with democratic attention networks;wang;ECCV,2020
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