记录平时阅读的论文笔记

• Face Detection
• Quantization
• Fashion
• Recommend System

联系方式：

Github：https://github.com/ccc013

知乎专栏：机器学习与计算机视觉，AI 论文笔记

微信公众号：AI 算法笔记

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Face Detection

Title	Paper	Code	My note	Discuss
RetinaNet：Focal Loss for Dense Object Detection	https://arxiv.org/abs/1708.02002	官方 github：https://github.com/facebookresearch/detectron tensorflow：https://github.com/tensorflow/models https://github.com/fizyr/keras-retinanet https://github.com/yhenon/pytorch-retinanet	https://mp.weixin.qq.com/s/6ivSPTfF_h6eMyE7h18hUQ

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Quantization

Title	Paper	Code	My note	Discuss
A Quantization-Friendly Separable Convolution for MobileNets	https://arxiv.org/pdf/1803.08607.pdf	/

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Fashion

Title	Paper	Code	My note	Discuss
FashionNet："FashionNet: Personalized Outfit Recommendation with Deep Neural Network"	https://www.ijcai.org/proceedings/2017/0239.pdf	/	https://github.com/ccc013/paper_reading/blob/master/fashion/FashionNet%20%E8%AE%BA%E6%96%87%E7%AC%94%E8%AE%B0.md	issue
Learning Fashion Compatibility with Bidirectional LSTMs	https://arxiv.org/abs/1707.05691	https://github.com/xthan/polyvore	https://mp.weixin.qq.com/s?__biz=MzkwMzEyNDgyMA==&mid=2247483874&idx=1&sn=ee302ebc030f0da7775328699af9128d&chksm=c09a43d9f7edcacf76df3961c438c9e3a627dc8a91aaafb6303f6b5345e3336dec77b90d296a&token=1862930471&lang=zh_CN#rd
Outfit Compatibility Prediction and Diagnosis with Multi-Layered Comparison Network	https://arxiv.org/abs/1907.11496	https://github.com/WangXin93/fashion_compatibility_mcn	https://mp.weixin.qq.com/s/LTkP8RHfJHKHfcUNxqH2qw
Learning Similarity Conditions Without Explicit Supervision	https://arxiv.org/pdf/1908.08589.pdf	https://github.com/rxtan2/Learning-Similarity-Conditions	https://github.com/ccc013/paper_reading/blob/master/fashion/Learning%20Similarity%20Conditions%20Without%20Explicit%20Supervision.md

Recommend System

Title	Paper	Code	My note	Discuss
DeepFM："DeepFM: A Factorization-Machine based Neural Network for CTR Prediction".	paper	Tensorflow Pytorch