DL学习日记——持续跟新

SSD系列优秀项目推荐:
RFBNet: 
code: https://github.com/ruinmessi/RFBNet
代码详解:https://zhuanlan.zhihu.com/p/49615407
SSD:
code: 
https://link.zhihu.com/?target=https%3A//github.com/lufficc/SSD
https://github.com/dlyldxwl/Stronger-One-stage-detector-with-much-Tricks
代码详解:https://zhuanlan.zhihu.com/p/62725380
M2Det: https://github.com/qijiezhao/M2Det
FSSD: https://github.com/lzx1413/PytorchSSD
RefineDet: 
https://github.com/lzx1413/PytorchSSD
https://github.com/pengfeidip/refindeDet_Pytorch

计算模型计算量参数量工具
https://github.com/sksq96/pytorch-summary

https://github.com/Swall0w/torchstat

https://github.com/Lyken17/pytorch-OpCounter

https://github.com/sovrasov/flops-counter.pytorch

论文:

      https://www.zhihu.com/question/319605567

      https://zhuanlan.zhihu.com/p/62372897

       https://zhuanlan.zhihu.com/p/55854246
       https://zhuanlan.zhihu.com/p/43371024

Tech Interview Guide 技术面试必备基础知识https://cyc2018.github.io/CS-Notes|https://github.com/CyC2018/CS-Notes

重磅 | 完备的 AI 学习路线,最详细的资源整理:地址

数据集:http://bendfunction.f3322.net:666/share/

论文连接:目标检测论文

Python-OpenCV:Python-OpenCV基础入门

OCR:https://cloud.tencent.com/developer/news/309535

目标跟踪:https://motchallenge.net/?tdsourcetag=s_pcqq_aiomsg

美化Linux:https://www.jianshu.com/p/6ef16e3b0a3e?tdsourcetag=s_pcqq_aiomsg

小样本学习数据集||Omniglot和miniImagenet||MAML算法测试:https://blog.csdn.net/weixin_41803874/article/details/92068250?tdsourcetag=s_pcqq_aiomsg

https://github.com/dragen1860/MAML-TensorFlow

交通信号灯/交通指示牌数据集相关

数据:数据集

工具:

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