CBAM:Convolutional Block Attention Module

catalogue 1. Attention mechanism 2. Thesis interpretation 2.1 Channel Attention Module 2.2 Spatial attention channel  2.3 CBAM integrated with a ResBlock in ResNet 2.4 experimental results 1. Attention mechanism Generally speaking, the attention mechanism is to hope that the network can automatically learn what needs attention in ...

Posted by OniLink on Fri, 31 Dec 2021 05:22:36 +0100

pytorch learning 11: where and gather

where Where syntax: torch where(condition, x, y) Requirement: the order (shape) of condition, x and y matrices must be the same, and the return value is also a sentence of the same orderCondition: condition matrix. When the element is True, fill in the corresponding element in x; otherwise, fill in the corresponding element in yx: When the el ...

Posted by ee12csvt on Thu, 30 Dec 2021 21:36:41 +0100

TensorflowSimilarity Learning Notes 7

2021SC@SDUSC Code location: similarity/distances.py at master · tensorflow/similarity · GitHub  @tf.keras.utils.register_keras_serializable(package="Similarity") class CosineDistance(Distance): """Compute pairwise cosine distances between embeddings. The [Cosine Distance](https://en.wikipedia.org/wiki/Cosine_similarity) is an angu ...

Posted by abid786 on Thu, 30 Dec 2021 20:44:41 +0100

[R329 development board evaluation] unpacking and Debian system hands-on experience

Starting Jishu community If you are interested in Arm related technologies, you are welcome to join the technology wechat group. preface I've always liked the products of silicon speed home. The design of these boards is really deep in my heart 😍. I was lucky to participate in this silicon speed R329 development board evaluation activity ...

Posted by amit on Thu, 30 Dec 2021 07:30:42 +0100

[AI ten line code series] 3. Face key point location - MediaPipe Python

[introduction to TLAIP series] ten lines AI projects At this stage, there are many excellent open source AI projects. In order to have better scalability, the interface is often designed very complex, which requires a certain amount of time and energy to deal with. It may take a long time for unfamiliar or novice partners. The starting point o ...

Posted by voyde on Wed, 29 Dec 2021 13:41:11 +0100

A case study of highway passenger volume, i.e. Highway Freight Volume Prediction Based on BP neural network

Programmer's view of love: love is a dead cycle, once executed, it will fall into; Falling in love with someone is a memory leak - you can never release it; When you really love someone, that is constant limit, which will never change; Girlfriend is a private variable, which can only be called by my class; Lover is a pointer. You must pay atten ...

Posted by igebert on Tue, 28 Dec 2021 10:44:04 +0100

Machine learning note 5 - Logistic Regression

1. Logistic Regression 1.1 Logistic Regression & Perceptron 1.2 definition of logistic regression model 1.3 maximum likelihood estimation model parameters summary 2. Python implementation of logistic regression 2.1 data sets The data set is Iris data set, which contains two types of flowers. Each sample contains two c ...

Posted by robburne on Mon, 27 Dec 2021 14:51:23 +0100

Yolo v5 model training

About Yolo 5's model training Author: fat orange preface With the continuous development of artificial intelligence, the technology of model training is becoming more and more important. Many people have opened the chapter of learning model training. Now I will introduce the basic content of model training. preparation data setlabelI ...

Posted by mmonaco on Mon, 27 Dec 2021 07:46:56 +0100

Coding party crop intelligent identification system based on propeller

Project background A recent report by the food and Agriculture Organization of the United Nations shows that more than one third of the natural losses of agricultural production each year are caused by agricultural diseases and pests. Many agricultural diseases and pests need to be considered. The traditional methods that rely on laboratory ob ...

Posted by shamuraq on Sun, 26 Dec 2021 20:37:22 +0100

Introduction to AI Phonetics: recognizing word error rate WER and word error rate CER

Abstract: This paper introduces the concepts of word error rate WER and word error rate CER, introduces the concept and calculation method of editing distance, and deduces the calculation method of word error rate or word error rate. This article is shared from Huawei cloud community< Introduction to novice pronunciation (I): recognize wor ...

Posted by robertvideo on Sun, 26 Dec 2021 13:36:28 +0100