Few-shot incremental learning in the context of solar cell quality inspection-Reference-Cited by-同舟云学术

Few-shot incremental learning in the context of solar cell quality inspection

Published:2023-10 Issue: Volume:228 Page:120382
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Balzategui Julen^ORCID,Eciolaza Luka

Funder

Eusko Jaurlaritza

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference28 articles.

1. Automatic detection of photovoltaic module defects in infrared images with isolated and develop-model transfer deep learning;Akram;Solar Energy,2020

2. Anomaly detection and automatic labeling for solar cell quality inspection based on generative adversarial network;Balzategui;Sensors,2021

3. Meta-seg: A generalized meta-learning framework for multi-class few-shot semantic segmentation;Cao;IEEE Access,2019

4. Few-shot semantic segmentation with prototype learning;Dong,2018

5. Detection and segmentation of manufacturing defects with convolutional neural networks and transfer learning. Smart sustain manuf. Syst.(2018);Ferguson,2018

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