Here I will share my learning experience and some useful pages or notes from other students and professors.
Pattern Recognition and Machine Learning (PRML) from Christopher Bishop
website (Some useful books here)
数据结构与算法(python)2020春季 from PKU 陈斌
Attention (SE block) from Bilibili
Squeeze-and-Excitation Networks
CBAM: Convolutional Block Attention Module
Surface-defect-Detection-dataset 合集
Signals-and-systems from Prof. Alan V. Oppenheim
Domain Adaptation (papers with code) from zhaoxin94 || more ... from cchen-cc
CFEA: Collaborative Feature Ensembling Adaptation for Domain Adaptation in Unsupervised Optic Disc and Cup Segmentation || Code (Pytorch)