Learning Orthogonal Prototypes for Generalized Few-Shot Semantic Segmentation
Author:
Affiliation:
1. University of Science and Technology of China, HiDream.ai Inc.
Funder
National Key Research and Development Program of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10203037/10203050/10204345.pdf?arnumber=10204345
Reference51 articles.
1. Squeeze-and-Excitation Networks
2. Strip Pooling: Rethinking Spatial Pooling for Scene Parsing
3. Learning What Not to Segment: A New Perspective on Few-Shot Segmentation
4. CCNet: Criss-Cross Attention for Semantic Segmentation
5. Constrained Few-shot Class-incremental Learning
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