Matching Feature Sets for Few-Shot Image Classification-Reference-Cited by-同舟云学术

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Matching Feature Sets for Few-Shot Image Classification

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

Afrasiyabi Arman¹,Larochelle Hugo²,Lalonde Jean-Francois¹,Gagne Christian¹

Affiliation:

1. Université Laval

2. Google Brain

Funder

NSERC

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9878378/9878366/09879948.pdf?arnumber=9879948

Reference77 articles.

1. DeepEMD: Few-Shot Image Classification With Differentiable Earth Mover’s Distance and Structured Classifiers

2. Prototype Completion with Primitive Knowledge for Few-Shot Learning

3. Deep sets;zaheer;Advances in neural information processing systems,0

4. TransMatch: A Transfer-Learning Scheme for Semi-Supervised Few-Shot Learning

5. Variational Few-Shot Learning

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1. Multi-scale task-aware structure graph modeling for few-shot image recognition;Pattern Recognition;2024-12

2. Meta-collaborative comparison for effective cross-domain few-shot learning;Pattern Recognition;2024-12

3. Few-shot image classification based on gradual machine learning;Expert Systems with Applications;2024-12

4. Embedding enhancement with foreground feature alignment and primitive knowledge for few-shot learning;Engineering Applications of Artificial Intelligence;2024-09

5. Classification of Woody Biomass Images Using Neural Networks and Attention Mechanisms;Industrial & Engineering Chemistry Research;2024-08-12

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