# Global-Local Consistency for Cost-Effective Anomaly Localization with Point Annotations

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/global-local-consistency-for-cost-effective-anomaly-localization-with-point/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Keiichi Nakanishi,Ryoya Katafuchi,T Tokunaga |
| Citations | 0 |
| DOI | 10.1109/iiai-aai63651.2024.00019 |
| Fields | Computer Science |
| Open Access | true |
| OA Status | gold |
| OA URL | https://kyutech.repo.nii.ac.jp/record/2000992/files/10435816.pdf |
| OpenAlex ID | https://openalex.org/W4403421269 |
| Type | conference-paper |
| Year | 2024 |

## Paper authors

- [Ryoya Katafuchi](https://scholariq.org/researchers/ryoya-katafuchi/)

## Paper primary topic

- [Anomaly Detection Techniques and Applications](https://scholariq.org/topics/anomaly-detection-techniques-and-applications/)

## Paper topics

- [Anomaly Detection Techniques and Applications](https://scholariq.org/topics/anomaly-detection-techniques-and-applications/)
- [Evolutionary Algorithms and Applications](https://scholariq.org/topics/evolutionary-algorithms-and-applications/)
- [Machine Learning and Algorithms](https://scholariq.org/topics/machine-learning-and-algorithms/)

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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.