使用biped数据集训练HED
时间: 2023-12-30 14:04:49 浏览: 34
根据所提供的引用内容,可以得出以下答案:
根据引用,DexiNed在BIPED数据集上达到了最好的结果。而HED是另一种方法,它在BIPED数据集上没有被训练过。
引用[2]提到,BIPED是一个数据集,用于边缘检测的评估。而HED是一种基于CNN的边缘检测方法。
因此,根据引用和的信息,我们可以得出结论,HED并没有在BIPED数据集上进行训练。<span class="em">1</span><span class="em">2</span><span class="em">3</span>
#### 引用[.reference_title]
- *1* [【论文阅读】Dense Extreme Inception Network: Towards a Robust CNN Model for Edge Detection(2020)](https://blog.csdn.net/qq_43019433/article/details/118155918)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v93^chatsearchT3_1"}}] [.reference_item style="max-width: 50%"]
- *2* *3* [Dense Extreme Inception Network: Towards a Robust CNN Model for Edge Detection(DexiNet)论文学习...](https://blog.csdn.net/qq_33952811/article/details/107289439)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v93^chatsearchT3_1"}}] [.reference_item style="max-width: 50%"]
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