# Ryoya Katafuchi

**Type:** Researchers  
**Canonical URL:** https://scholariq.org/researchers/ryoya-katafuchi/

## Facts

| Field | Value |
| --- | --- |
| Citations | 21 |
| Field | Anomaly Detection Techniques and Applications |
| h-index | 3 |
| i10-index | 1 |
| Last Known Institution | Kyushu Institute of Technology |
| OpenAlex ID | https://openalex.org/A5046439948 |
| Works | 6 |

## Researcher papers

- [Image-based Plant Disease Diagnosis with Unsupervised Anomaly Detection based on Reconstructability of Colors](https://scholariq.org/papers/image-based-plant-disease-diagnosis-with-unsupervised-anomaly-detection-based-on-2/)
- [Image-based Plant Disease Diagnosis with Unsupervised Anomaly Detection Based on Reconstructability of Colors](https://scholariq.org/papers/image-based-plant-disease-diagnosis-with-unsupervised-anomaly-detection-based-on/)
- [Layer-Wise External Attention by Well-Localized Attention Map for Efficient Deep Anomaly Detection](https://scholariq.org/papers/layer-wise-external-attention-by-well-localized-attention-map-for-efficient-deep/)
- [LEA-Net: Layer-wise External Attention Network for Efficient Color Anomaly Detection](https://scholariq.org/papers/lea-net-layer-wise-external-attention-network-for-efficient-color-anomaly/)
- [Layer-wise External Attention for Efficient Deep Anomaly Detection](https://scholariq.org/papers/layer-wise-external-attention-for-efficient-deep-anomaly-detection/)
- [Global-Local Consistency for Cost-Effective Anomaly Localization with Point Annotations](https://scholariq.org/papers/global-local-consistency-for-cost-effective-anomaly-localization-with-point/)

## Researcher topics

- [Anomaly Detection Techniques and Applications](https://scholariq.org/topics/anomaly-detection-techniques-and-applications/)
- [Plant Virus Research Studies](https://scholariq.org/topics/plant-virus-research-studies/)
- [Smart Agriculture and AI](https://scholariq.org/topics/smart-agriculture-and-ai/)
- [Plant Pathogenic Bacteria Studies](https://scholariq.org/topics/plant-pathogenic-bacteria-studies/)
- [Adversarial Robustness in Machine Learning](https://scholariq.org/topics/adversarial-robustness-in-machine-learning/)

## Researcher university

- [Kyushu Institute of Technology](https://scholariq.org/institutions/kyushu-institute-of-technology/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.