Convolution neural network is used to do facial expression recognition such as smiling face and non smiling face

1, Convolution neural network is used to do facial expression recognition such as smiling face and non smiling face 1.1 research background Facial Expression Recognition In daily work and life, people's emotional expression mainly includes: language, voice, physical behavior (such as gestures), facial expression and so on. Among these behavi ...

Posted by dan_t on Thu, 13 Jan 2022 13:02:50 +0100

Effect increased by 28 points! Semantic retrieval based on domain pre training and contrastive learning SimCSE

Compared with the traditional retrieval based on literal keywords, semantic retrieval has many advantages and is widely used in question answering and search systems. Today, Xiaobian will take you to complete a semantic retrieval system based on domain pre training and comparative learning SimCSE. The so-called semantic retrieval (also known a ...

Posted by paul_so40 on Thu, 13 Jan 2022 08:35:20 +0100

ROS learning record 14 [SLAM] simulation learning 3 - start up and release coordinate information

Fatal Frame. preface Because it is a simulation, the model is also strange, so the coordinate information does not need the way of wheel integration. After meeting the real model, we will analyze the velocity conversion of Ackerman motion model. Moreover, the motion decomposition of the real situation is more complex, which is not as ideal as ...

Posted by kumarsatishn on Thu, 13 Jan 2022 02:19:44 +0100

[linear algebra] Matrix Factorization notes: nonnegative Matrix Factorization (practice)

@[TOC] (non negative matrix factorization practice) 1. Application Overview NMF can be applied in a wide range of fields because it has a good explanation of the local characteristics of things. In many applications, NMF can be used to discover image features in database, which is convenient for rapid and automatic recognition;It can discove ...

Posted by MatthewBJones on Thu, 13 Jan 2022 01:38:37 +0100

Lesson 4.3&4.4 basic principle and manual implementation of gradient descent random gradient descent and small batch gradient descent

Lesson 4.3 basic principle and manual implementation of gradient descent In the previous section, we have successfully constructed the loss function of logistic regression, but due to the particularity of the logistic regression model itself, we cannot adopt the calculation idea similar to SSE when constructing the loss function (at this time, ...

Posted by zrueda on Wed, 12 Jan 2022 21:15:27 +0100

Path planning algorithm -- Astar C + + implementation and display

Path planning algorithm - Astar C + + implementation and display The following are original contents. Please reprint them from famous sources. Thank you. 1. Main function main.cpp The main function mainly provides the external interface to implement the algorithm. The main process here is 1. Call MapData(mapPath) to read map data 2. ...

Posted by dpearcepng on Tue, 11 Jan 2022 14:32:15 +0100

Machine learning algorithm series - Logistic Regression Algorithm

Background knowledge required for reading this article: logarithmic probability regression algorithm (I), conjugate gradient method, and a little programming knowledge1, Introduction   continue with a log probability regression algorithm (I), which introduces two methods to optimize the cost function of log probability regression - Gr ...

Posted by phpzone on Tue, 11 Jan 2022 07:50:23 +0100

Whether to wear mask for face detection

As an undergraduate majoring in artificial intelligence, I came into contact with face detection in my freshman study. And with the help of teachers, successfully use the code to recognize and train a series of face pictures. Now I want to share the problems and training results I encountered in the process of training the model. Face Detectio ...

Posted by nloding on Sun, 09 Jan 2022 16:05:27 +0100

Seven Segment LCD digital recognition - processing program

Introduction: For the enhancement of seven segment nixie tube pictures, LeNet is used to establish the recognition model of the data set. Based on this model, it will be used to recognize the numbers in actual pictures in the future. Key words: LCD, LENET   § 01 seven segment digital identification 1.1 data collection pr ...

Posted by DavidP123 on Sat, 08 Jan 2022 22:02:16 +0100

HOG+SVM custom object recognition based on OpenCV

1. Preface This case is an online learning course purchased a long time ago. Recently, when I suddenly think of it, I realize to record it. Today, with the gradual flow of deep learning, the application of HOG+SVM custom object recognition may not be very large, but in a fixed scene, if the size of custom objects in the image is relatively con ...

Posted by LiamBailey on Sat, 08 Jan 2022 12:26:14 +0100