Integrative Few-Shot Learning for Classification and Segmentation-Reference-Cited by-同舟云学术

Integrative Few-Shot Learning for Classification and Segmentation

Published:2022-06 Issue: Volume: Page:
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Container-title:2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
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Author:

Kang Dahyun¹,Cho Minsu¹

Affiliation:

1. Pohang University of Science and Technology (POSTECH),South Korea

Funder

Samsung Advanced Institute of Technology (SAIT)

DAPA

ADD

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9878378/9878366/09880466.pdf?arnumber=9880466

Reference100 articles.

1. Few-Shot Open-Set Recognition Using Meta-Learning

2. Antialiasing semantic reconstruction for few-shot semantic segmentation;liu;Proc IEEE Conference on Computer Vision and Pattern Recognition (CVPR),0

3. Towards total scene understanding: Classification, annotation and segmentation in an automatic framework

4. Meta-Learning With Differentiable Convex Optimization

5. General multi -label image classification with trans-formers;lanchantin;Proc IEEE Conference on Computer Vision and Pattern Recognition (CVPR),0

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