Bridge the gap between supervised and unsupervised learning for fine-grained classification-Reference-Cited by-同舟云学术

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Bridge the gap between supervised and unsupervised learning for fine-grained classification

Published:2023-11 Issue: Volume:649 Page:119653
ISSN:0020-0255
Container-title:Information Sciences
language:en
Short-container-title:Information Sciences

Author:

Wang Jiabao^ORCID,Li Yang^ORCID,Wei Xiu-Shen,Li Hang,Miao Zhuang,Zhang Rui

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Computer Science Applications,Theoretical Computer Science,Control and Systems Engineering,Software

Reference48 articles.

1. Fine-grained image analysis with deep learning: a survey;Wei;IEEE Trans. Pattern Anal. Mach. Intell.,2022

2. The Caltech-UCSD Birds-200-2011 Dataset;Wah,2011

3. 3d object representations for fine-grained categorization;Krause,2013

4. SCAN: learning to classify images without labels;Gansbeke,2020

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2. Unsupervised feature extraction based on uncorrelated approach;Information Sciences;2024-05

3. Mining construction accident reports via unsupervised NLP and Accimap for systemic risk analysis;Automation in Construction;2024-05

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