Feature Pyramid Networks for Object Detection.pdf

HarmonyPageAbilityDemo.rar

看完了DFANet，自己有空就翻译了一下，需要的自取

Tinne Tuytelaars1 and Krystian Mikolajczyk2编写的关于不动本体特征检测的综述，很值得看，。 搞图像学必看的文章

OB39R16A3单片机数据手册中文版

In supervised learning scenarios, feature selection has been studied widely in the literature. Selecting features in unsupervised learning scenarios is a much harder problem, due to the absence of class labels that would guide the search for relevant information. And, almost all of previous unsuperv

用于人脸识别图片的feature生成，并以txt文件存储起来。

部分数据图库，在不同光照下的对比图都有，对于图像处理中检测光线对于图像检测的作用挺适用

2020CVPR顶会图像去雾论文-Multi-Scale Boosted Dehazing Network with Dense Feature Fusion论文源码

【ProToolkit范例之三】遍历模型下的所有Feature