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Learning to Compare Relation: Semantic Alignment for Few-Shot Learning

  • Published:2022 Issue: Volume:31 Page:1462-1474
  • ISSN:1057-7149
  • Container-title:IEEE Transactions on Image Processing
  • language:
  • Short-container-title:IEEE Trans. on Image Process.

Author:

Cao CongqiORCID,Zhang YanningORCID

Funder

National Natural Science Foundation of China

Natural Science Foundation of Shaanxi Province

China Postdoctoral Science Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Graphics and Computer-Aided Design,Software

Reference65 articles.

1. Aleatory or epistemic? Does it matter?

2. Deeply Supervised Discriminative Learning for Adversarial Defense

3. Boosting Few-Shot Visual Learning With Self-Supervision

4. Learning to forget for meta-learning;baik;arXiv 1906 05895,2019

5. Meta-learning via feature-label memory network;mureja;arXiv 1710 07110,2017

Cited by 9 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Learning feature alignment and dual correlation for few‐shot image classification;CAAI Transactions on Intelligence Technology;2023-12-05

2. Efficient Feature Reconstruction via l 2,1-Norm Regularization for Few-Shot Classification;IEEE Transactions on Circuits and Systems for Video Technology;2023-12

3. Self-similarity feature based few-shot learning via hierarchical relation network;International Journal of Machine Learning and Cybernetics;2023-06-20

4. Evolving Into a Transformer: From a Training-Free Retrieval-Based Method for Anomaly Obstacle Segmentation;IEEE Transactions on Image Processing;2023

5. Category Knowledge-Guided Parameter Calibration for Few-Shot Object Detection;IEEE Transactions on Image Processing;2023
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