Locally-Enriched Cross-Reconstruction for Few-Shot Fine-Grained Image Classification-Reference-Cited by-同舟云学术

Locally-Enriched Cross-Reconstruction for Few-Shot Fine-Grained Image Classification

Published:2023-12 Issue:12 Volume:33 Page:7530-7540
ISSN:1051-8215
Container-title:IEEE Transactions on Circuits and Systems for Video Technology
language:
Short-container-title:IEEE Trans. Circuits Syst. Video Technol.

Author:

Li Xiaoxu¹,Song Qi¹^ORCID,Wu Jijie¹,Zhu Rui²^ORCID,Ma Zhanyu³^ORCID,Xue Jing-Hao⁴^ORCID

Affiliation:

1. School of Computer and Communication, Lanzhou University of Technology, Lanzhou, China

2. Faculty of Actuarial Science and Insurance, Bayes Business School, City, University of London, London, U.K.

3. Pattern Recognition and Intelligent System Laboratory, School of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing, China

4. Department of Statistical Science, University College London, London, U.K.

Funder

National Natural Science Foundation of China

Key Research and Development Program of Gansu Province

Young Doctoral Fund of Education Department of Gansu Province

Hong-liu Distinguished Young Talents Foundation of Lanzhou University of Technology

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Media Technology

Link

http://xplorestaging.ieee.org/ielx7/76/10348119/10123101.pdf?arnumber=10123101

Reference37 articles.

1. Improved Few-Shot Visual Classification

2. Learning from miscellaneous other-class words for fewshot named entity recognition;tong;arXiv 2106 15167,2021

3. Meta-Generating Deep Attentive Metric for Few-Shot Classification

4. TADAM: Task dependent adaptive metric for improved few-shot learning;oreshkin;Proc Adv Neural Inf Process Syst,2018

5. Few-Shot Classification with Feature Map Reconstruction Networks

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4. Video Desnower: An Adaptive Feature Fusion Understanding Video Desnowing Model With Deformable Convolution and KNN Point Cloud Transformer;IEEE Access;2024

5. Feature Augmentation Reconstruction Network for Few-Shot Image Classification;2023 Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC);2023-10-31