# ChainerCV: a Library for Deep Learning in Computer Vision

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/chainercv-a-library-for-deep-learning-in-computer-vision/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Yusuke Niitani,Toru Ogawa,Shunta Saito,Masaki Saito |
| Citations | 18 |
| DOI | 10.48550/arxiv.1708.08169 |
| Fields | Computer Science |
| Open Access | true |
| OA Status | green |
| OA URL | https://arxiv.org/pdf/1708.08169 |
| OpenAlex ID | https://openalex.org/W2953062165 |
| Type | preprint |
| Year | 2017 |

## Paper authors

- [Masaki Saito](https://scholariq.org/researchers/masaki-saito/)

## Paper journal

- [arXiv (Cornell University)](https://scholariq.org/journals/arxiv-cornell-university/)

## Paper primary topic

- [Advanced Neural Network Applications](https://scholariq.org/topics/advanced-neural-network-applications/)

## Paper topics

- [Advanced Neural Network Applications](https://scholariq.org/topics/advanced-neural-network-applications/)
- [Adversarial Robustness in Machine Learning](https://scholariq.org/topics/adversarial-robustness-in-machine-learning/)
- [Anomaly Detection Techniques and Applications](https://scholariq.org/topics/anomaly-detection-techniques-and-applications/)

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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.