1D CNN

Conformer: A Hybrid CNN-Transformer Model for Improved Feature Representation

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Conformer: A Hybrid CNN-Transformer Model for Improved Feature Representation

Follow our public account to discover the beauty of CV technology 0 Introduction In Convolutional Neural Networks (CNN), convolution operations excel at extracting local features, but there are certain limitations in capturing global feature representations. In Vision Transformers, cascading self-attention modules can capture long-range feature dependencies but tend to overlook the details of local features. … Read more

Practical Summary of CNN Tuning

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Practical Summary of CNN Tuning

Click on the above “Beginner Learning Vision“, select to add “Star” or “Top“ Essential insights delivered promptly Reprinted from: Author | Charlotte Source | Deep Learning Enthusiasts Editor | Jishi Platform Summary of tuning techniques, all about CNN optimization. Summary of CNN Optimization Systematic evaluation of CNN advances on the ImageNet Using ELU non-linearity without … Read more

Overview of Various Convolution Operations in CNNs

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Overview of Various Convolution Operations in CNNs

Are you a new friend? Remember to click the blue text to follow me~ The official account has changed its push rules, remember to click “Looking” after reading~ Next time a new article will appear in your subscription list in a timely manner Author | Captain Note | The official account is responsible for pushing … Read more

Facial Emotion Recognition Using CNN

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Facial Emotion Recognition Using CNN

Click the above “Beginner Learning Visuals“, select Star or Pin“ Heavyweight resources delivered instantly Facial expressions are an important way of communication among humans. In artificial intelligence research, deep learning techniques have become a powerful tool to enhance human-computer interaction. The analysis and assessment of facial expressions and emotions in psychology involves evaluating the predictions … Read more

Crop Disease Detection Using Image Processing and CNN

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Crop Disease Detection Using Image Processing and CNN

Click on the "Xiaobai Learns Vision" above, select "Star" or "Top" Heavyweight content delivered first time Here, we will discuss the detection of crop disease severity using OpenCV image processing techniques. This process does not involve any training part. Based on color segmentation technology, we only extract healthier plant areas and calculate disease severity based … Read more

Understanding Applications of Deep Learning in Computer Vision

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Understanding Applications of Deep Learning in Computer Vision

Source: New Machine Vision Originally from: Chengmai Technology Abstract: This article mainly introduces the five major technologies in computer vision, which are image classification, object detection, object tracking, semantic segmentation, and instance segmentation. Each technology is given a basic concept and corresponding typical methods, making it simple and easy to read. Computer vision is one … Read more

Cactus Image Classification Based on Convolutional Neural Networks (CNN)

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Cactus Image Classification Based on Convolutional Neural Networks (CNN)

Click the top“Beginner Learning Vision” to select “Star” or “Top” Heavyweight content delivered at the first time Today our goal is to build a classifier that classifies images as “cactus” or “non-cactus”. 01. Dataset This classification problem is one of the Kaggle challenges. The goal is to build a classifier that classifies images as “cactus” … Read more

Image Classification Techniques: KNN, SVM, BP Neural Networks, CNN, and Transfer Learning

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Image Classification Techniques: KNN, SVM, BP Neural Networks, CNN, and Transfer Learning

Original: Medium Author: Shiyu Mou Source: Robot Circle This article has a length of 4600 words and is suggested to be read in 6 minutes. This article introduces you to 5 techniques for image classification, summarizes and consolidates algorithms, implementation methods, and conducts experimental validation. The image classification problem is the task of assigning labels … Read more

CNN Overhaul: Performance Boost with Half the Compute Power

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CNN Overhaul: Performance Boost with Half the Compute Power

This article is authorized for reprint by AI new media Quantum Bit (WeChat ID: qbitai), please contact the source for reprint. This article has a total of 2400 words and is recommended to read in 9 minutes. The traditional convolution operation is about to become a thing of the past. Facebook and the National University … Read more

40 Classic Papers on Convolutional Neural Networks

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40 Classic Papers on Convolutional Neural Networks

Reprinted from: Jishi Platform As one of the representative algorithms of deep learning, Convolutional Neural Networks (CNN) have achieved the best results in fields such as computer vision. In 1998, Yann LeCun proposed LeNet-5, applying the BP algorithm to train the neural network structure, forming the prototype of contemporary CNNs. In 2012, during the ImageNet … Read more