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CDIoU-CDIoUloss
🔥CDIoU and CDIoU loss is like a convenient plug-in that can be used in multiple models. CDIoU and CDIoU loss have different excellent performances in several models such as Faster R-CNN, YOLOv4, RetinaNet and . There is a maximum AP improvement of 1.9% and an average AP of 0.8% improvement on MS COCO dataset, compared to traditional evaluation-feedback modules. Here we just use as an example to illustrate the code.PCA_ICA_DEMO
Demo for PCA(Principal Component Analysis) & ICA(Independent Component Analysis) in data analysis in Python and image separation written in MATLABPython-ABC
The basic courses for pythonSVM_machineLearning
There are 3 demoes for SVM algorithm. The 1st is easiest one for explaining how SVM works.The 2nd and 3th are examples of application to deal with multidimensional classification and face recognitionHandwritten-digit-recognition-New-version
machinelearning_deeplearning
The algorithms of common just for machine learning and deep learningDeep_Learning
coding lines for Deep learning 0.1 Desicion TreeJava-ABC
关于JAVA的学习笔记和心得MgD
🔥 we propose Multi-granularity Detector (MgD).multi-granularity_seletive_search
🔥 This paper proposes a multi-granularity selective search algorithm (MGSS) for candidate region acquisition by extracting the main features such as outline, texture and color of images with multiple grain sizes and improving the subgraph similarity calculation method.KNN_ML
Demo for KNN(K-Nearest Neighbor) & Iris module(a classical test) in data analysis in Pythonneural-network-NN-
The basic principle of neural network. A simple 2 * 2 * 1neural network structure just for 0, 1 prediction ; Handwritten numerals recognition (classification) neural network; Handwritten digital data set integrated in SKlearn module.Love Open Source and this site? Check out how you can help us