Crossed Wavelet Convolution Network for Few-Shot Defect Detection of Industrial Chips

Crossed Wavelet Convolution Network for Few-Shot Defect Detection of Industrial Chips

In resistive polymer humidity sensors, the quality of the resistor chips directly affects the performance. Detecting chip defects remains challenging due to the scarcity of defective samples, which limits traditional supervised-learning methods requiring abundant labeled data. While few-shot learnin...

Full description

Saved in:

Bibliographic Details
Main Authors:	Zonghai Sun, Yiyu Lin, Yan Li, Zihan Lin
Format:	Article
Language:	English
Published:	MDPI AG 2025-07-01
Series:	Sensors
Subjects:	defect detection few-shot learning wavelet transform convolution prototype learning
Online Access:	https://www.mdpi.com/1424-8220/25/14/4377
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Few-Shot Classification Study for Prototype Fusion and Completion
by: Yuheng Wang, et al.
Published: (2024-01-01)

Few-Shot Semantic Segmentation Network for Distinguishing Positive and Negative Examples
by: Feng Guo, et al.
Published: (2025-03-01)

Dual-Filter Cross Attention and Onion Pooling Network for Enhanced Few-Shot Medical Image Segmentation
by: Lina Ni, et al.
Published: (2025-03-01)

Few-Shot Learning With Prototypical Networks for Improved Memory Forensics
by: Muhammad Fahad Malik, et al.
Published: (2025-01-01)

Malware Classification Using Few-Shot Learning Approach
by: Khalid Alfarsi, et al.
Published: (2024-11-01)

Pest classification: Explainable few-shot learning vs. convolutional neural networks vs. transfer learning
by: Nitiyaa Ragu, et al.
Published: (2025-03-01)

Hybrid attentive prototypical network for few-shot action recognition
by: Zanxi Ruan, et al.
Published: (2024-08-01)

Weighted Contrastive Prototype Network for Few-Shot Hyperspectral Image Classification with Noisy Labels
by: Dan Zhang, et al.
Published: (2024-09-01)

Few-shot traffic classification based on autoencoder and deep graph convolutional networks
by: Shengwei Xu, et al.
Published: (2025-03-01)

DCPNet: Distribution Calibration Prototypical Network for Few-Shot Image Classification
by: Ranhui Xu, et al.
Published: (2024-01-01)

Benchmarking Federated Few-Shot Learning for Video-Based Action Recognition
by: Nguyen Anh Tu, et al.
Published: (2024-01-01)

Tuberculosis detection using few shot learning
by: Kamran Riasat, et al.
Published: (2025-04-01)

Attention-enhanced corn disease diagnosis using few-shot learning and VGG16
by: Ruchi Rani, et al.
Published: (2025-06-01)

Improving Few-Shot Named Entity Recognition with Causal Interventions
by: Zhen Yang, et al.
Published: (2024-12-01)

ResNet-SE-CBAM Siamese Networks for Few-Shot and Imbalanced PCB Defect Classification
by: Chao-Hsiang Hsiao, et al.
Published: (2025-07-01)

Towards interactive AI-authoring with prototypical few-shot classifiers in histopathology
by: Petr Kuritcyn, et al.
Published: (2024-12-01)

Few-Shot Segmentation Using Multi-Similarity and Attention Guidance
by: Ehtesham Iqbal, et al.
Published: (2025-01-01)

DAM-Faster RCNN: few-shot defect detection method for wood based on dual attention mechanism
by: Xingyu Tong, et al.
Published: (2025-07-01)

Dynamic Knowledge Path Learning for Few-Shot Learning
by: Jingzhu Li, et al.
Published: (2025-04-01)

Learning From Natural Images in Few-Shot SAR Target Classification
by: Songhao Shi, et al.
Published: (2025-01-01)

Few-Shot Transfer Learning-Based Fault Classification in Wireless Sensor Networks
by: Nouman Ijaz, et al.
Published: (2025-01-01)

A review on NLP zero-shot and few-shot learning: methods and applications
by: G. Ramesh, et al.
Published: (2025-08-01)

Feature Transformation-Based Few-Shot Class-Incremental Learning
by: Xubo Zhang, et al.
Published: (2025-07-01)

Few-Shot Object Detection via Sample Processing
by: Honghui Xu, et al.
Published: (2021-01-01)

Few shot object detection for headdresses and seats in Thangka Yidam based on ResNet and deformable convolution
by: Hu Wenjin, et al.
Published: (2022-12-01)

FSS-ULivR: a clinically-inspired few-shot segmentation framework for liver imaging using unified representations and attention mechanisms
by: Ripon Kumar Debnath, et al.
Published: (2025-07-01)

Sustainable AI for plant disease classification using ResNet18 in few-shot learning
by: Fareeha Naveed, et al.
Published: (2025-07-01)

Few-shot English text classification method based on graph convolutional network and prompt learning
by: Yunfei Jin
Published: (2025-02-01)

Few-Shot Learning in Wi-Fi-Based Indoor Positioning
by: Feng Xie, et al.
Published: (2024-09-01)

BFER-Net: Babies Facial Expression Recognition Model Using ResNet12 Enabled Few-Shot Embedding Adaptation and Convolutional Block Attention Modules
by: Sumiya Arafin, et al.
Published: (2025-01-01)

Transformer-Based Student Engagement Recognition Using Few-Shot Learning
by: Wejdan Alarefah, et al.
Published: (2025-03-01)

Few-shot Named Entity Recognition via encoder and class intervention
by: Long Ding, et al.
Published: (2024-01-01)

STTMC: A Few-Shot Spatial Temporal Transductive Modulation Classifier
by: Yunhao Shi, et al.
Published: (2024-01-01)

A Review on the Few-Shot SAR Target Recognition
by: Junjun Yin, et al.
Published: (2024-01-01)

Federated knee injury diagnosis using few shot learning
by: Chirag Goel, et al.
Published: (2025-07-01)

Multi-Modal Prototypes for Few-Shot Object Detection in Remote Sensing Images
by: Yanxing Liu, et al.
Published: (2024-12-01)

Few-shot learning for novel object detection in autonomous driving
by: Yifan Zhuang, et al.
Published: (2025-12-01)

A network intrusion detection method designed for few-shot scenarios
by: Weichen HU, et al.
Published: (2023-10-01)

A Novel Few-Shot Learning Framework Based on Diffusion Models for High-Accuracy Sunflower Disease Detection and Classification
by: Huachen Zhou, et al.
Published: (2025-01-01)

Few-shot relation extraction approach for threat intelligence based on multi-level attention mechanism and hybrid prototypical network
by: Yushun Xie, et al.
Published: (2025-07-01)