# Yolo V4 for Advanced Traffic Sign Recognition With Synthetic Training Data Generated by Various GAN

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/yolo-v4-for-advanced-traffic-sign-recognition-with-synthetic-training-data/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Christine Dewi,Rung-Ching Chen,Yanting Liu,Xiaoyi Jiang,Kristoko Dwi Hartomo |
| Citations | 209 |
| DOI | 10.1109/access.2021.3094201 |
| Fields | Computer Science,Engineering |
| Open Access | true |
| OA Status | gold |
| OA URL | https://ieeexplore.ieee.org/ielx7/6287639/9312710/09471877.pdf |
| OpenAlex ID | https://openalex.org/W3180297163 |
| Type | article |
| Year | 2021 |

## Paper authors

- [Christine Dewi](https://scholariq.org/researchers/christine-dewi/)

## Paper journal

- [IEEE Access](https://scholariq.org/journals/ieee-access/)

## 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/)
- [Vehicle License Plate Recognition](https://scholariq.org/topics/vehicle-license-plate-recognition/)
- [Handwritten Text Recognition Techniques](https://scholariq.org/topics/handwritten-text-recognition-techniques/)

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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.