study-of-2020-winter-vacation

2.1-2.9 小样本学习

MAML：Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
paper: https://arxiv.org/abs/1703.03400
code:https://github.com/cbfinn/maml

2.10-2.23 GAN

1.Generative Adversarial Networks

paper:https://arxiv.org/abs/1406.2661

2.Conditional Generative Adversarial Net

paper:https://arxiv.org/pdf/1411.1784.pdf
code:https://github.com/znxlwm/tensorflow-MNIST-cGAN-cDCGAN

3.Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks

paper:https://arxiv.org/pdf/1511.06434.pdf
code:https://github.com/carpedm20/DCGAN-tensorflow

4.Image-to-Image Translation with Conditional Adversarial Networks

paper:https://arxiv.org/pdf/1611.07004v2.pdf
code:https://github.com/affinelayer/pix2pix-tensorflow

2.24-3.2 人脸识别

1.Deepface: Closing the gap to human-level performance in face verification

paper:https://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Taigman_DeepFace_Closing_the_2014_CVPR_paper.pdf

2.Learning deep face representation

paper:https://arxiv.org/pdf/1403.2802.pdf

3.Facenet: A unified embedding for face recognition and clustering

paper:https://arxiv.org/pdf/1503.03832.pdf
code:https://github.com/davidsandberg/facenet

3.3-3.4 爬虫

code:https://github.com/xyl3902596/python-spyder

3.5-3.6 git的用法

link:https://blog.csdn.net/qq_41556318/article/list/4

3.7-3.8 使用git上传代码

3.9-3.18 人脸跟踪

paper:Fully-Convolutional Siamese Networks for Object Tracking
code:https://github.com/bilylee/SiamFC-TensorFlow

3.19-3.21 目标检测

paper：BlazeFace: Sub-millisecond Neural Face Detection on Mobile GPUs
code:https://github.com/tkat0/PyTorch_BlazeFace

3.22-4.1 去见你

4.2 pytorch

link: http://pytorch123.com/

4.3-4.4 BlazeFace_pytorch

code:https://github.com/tkat0/PyTorch_BlazeFace

4.5-4.7 docker

link:https://github.com/xyl3902596/docker-Python-/blob/master/README.md

4.8-4.10电脑换屏幕

4.11-4.13 搭VPN

4.14博客园搭梯教程

link：https://www.cnblogs.com/xyl1234/p/12700305.html

4.15简书Docker，Git教程

Docker link：https://www.jianshu.com/p/87a3f9840672
Git Link:https://www.jianshu.com/p/585d18e9d864

4.16 4000档手机评测

4.17 相机原理

link：https://www.jianshu.com/p/0391856841d44.18

4.18-4.19 Gaussion yolov3

paper:https://arxiv.org/abs/1904.04620?context=cs
code:https://github.com/jwchoi384/Gaussian_YOLOv3

4.20-5.20 21天学通c++

5.21-5.28 c++ yolov4

Link：https://github.com/xyl3902596/Yolov4detect

5.29-6.2 理解Yolov4

Study next: anchor-free,场景理解