Click the above“Beginner Learning Vision” to selectStar or “Pin” Heavyweight content delivered first Introduction In the field of CV, we need to master the most basic knowledge, which is the various architectures of Convolutional Neural Networks (CNNs). Whether we are dealing with image classification, segmentation, object detection, or NLP, we will use the basic CNN … Read more
1 Algorithm Introduction Convolutional Neural Networks (CNNs) are a class of feedforward neural networks that include convolutional computations and have a deep structure. They have emerged in recent years as an efficient recognition method that has gained widespread attention. The design inspiration for CNNs comes from the hierarchical processing capabilities of the animal visual system, … Read more
Click on the above “Beginner’s Guide to Vision”, select to add “Bookmark” or “Pin“ Heavyweight content delivered promptly Image Processing| Computer Vision CV | Deep Learning | Vision Language Model VLM Introduction This review categorizes recent innovations in CNN architectures into seven distinct categories based on spatial utilization, depth, multi-path, width, feature map utilization, channel … Read more
Click the "Xiaobai Studies Vision" above, select "Star" or "Top" to receive essential information promptly. Is CNN a Type of Local Self-Attention? Author: Hohou https://www.zhihu.com/question/448924025/answer/1791134786 (This answer references: Li Hongyi’s 2021 Machine Learning Course) CNN is not a type of local attention, so let’s analyze what CNN and attention are doing. 1: CNN can be … Read more
Click the above“Beginner Learning Vision” and select toStar or “Pin” Important information delivered first time Source｜Daniel Liu@Zhihu, https://zhuanlan.zhihu.com/p/138555896 Multi-scale self-guided attention for medical image segmentation The method in this paper is the optimal method for medical image segmentation on the CHAOS MRI Dataset published in 2019, with a final Dice score of 86.75. Introduction: Views … Read more
Source: Algorithm Advancement This article is approximately 11,000 words long and is recommended for a reading time of over 20 minutes. For complex nonlinear patterns, deep learning models have strong expressive capabilities. 1 Overview Deep learning methods are a type of machine learning that utilizes neural network models for advanced pattern recognition and automatic feature … Read more
Every day we bring you NLP technology insights! Introduction Entity Relation Extraction is a core task of text mining and information extraction. It mainly models text information to automatically extract semantic relationships between entity pairs, thereby extracting valid semantic knowledge. The research results are mainly applied in text summarization, automatic question answering, machine translation, semantic … Read more
Research on CNN-BiLSTM Short-term Power Load Forecasting Model Based on Attention Mechanism and ResNet WANG Lize1,2, XIE Dong1,2*, ZHOU Lifeng1,2, WANG Hanqing1,2 (1.School of Civil Engineering, University of South China, Hengyang, Hunan 421001, China;2.Hunan Engineering Laboratory of Building Environmental Control Technology, University of South China, Hengyang, Hunan 421001, China) Abstract：Short term power load forecasting is … Read more
Source: AI Technology Review This article contains over 10,000 words, and it is recommended to read it in about 20 minutes. In this article, author Zhang Junlin uses vivid language to compare the features of the three major feature extractors in natural language processing (CNN/RNN/TF). At the turn of the year, everyone is busy reviewing … Read more
Click I Love Computer Vision to get CVML new technologies faster This article is an interpretation of the commonly used Attention mechanism in papers by 52CV fans, reprinted with the author’s permission. Please do not reprint: https://juejin.im/post/5e57d69b6fb9a07c8a5a1aa2 Paper Title: “Attention Is All You Need” Authors: Ashish Vaswani Google Brain Published in: NIPS 2017 Introduction Remember … Read more