In 2014, GoogLeNet and VGG were the two leading models in that year’s ImageNet competition (ILSVRC14), with GoogLeNet taking first place and VGG second. A common feature of these two model architectures is their increased depth. VGG inherits some structural elements from LeNet and AlexNet, while GoogLeNet made bolder structural attempts. Although it has only … Read more
Click on the above “Beginner’s Guide to Vision” to select Star or “Pin” Essential content delivered promptly In this article, we establish a CNN model using the Python programming language and libraries Keras and OpenCV, successfully classifying traffic signs with an accuracy of 96%. We developed a traffic sign recognition application that can operate in … Read more
The “Quick Overview” series of articles aims to disseminate important results from conferences and journals in the field of image graphics, allowing readers to quickly understand relevant academic dynamics in their native language through short articles. We welcome attention and submissions~ ◆ ◆ ◆ ◆ Compact 1-Bit Convolutional Neural Networks (BONN) Based on Bayesian Learning … Read more
Author: Sabrina Göllner Translator: Chen Zhiyan Proofreader: zrx This article is approximately 4800 words long and is recommended to be read in 10 minutes. This article presents research by institutions such as Niantic and UCL, which has achieved high-quality depth estimation and 3D reconstruction using a carefully designed and trained 2D network. Tags: CNN Training … Read more
Click on the top “Beginner’s Guide to Computer Vision”, and choose to add a star or “pin” Essential insights delivered in real time. In computer vision, CNNs are indispensable. However, what do convolution, pooling, and Softmax actually look like, and how are they interconnected? Imagining it from the code can be a bit daunting. Therefore, … Read more
Project Background Insects, as a treasure trove of biological diversity, are facing multiple challenges such as a lack of understanding, a lack of conservation awareness, and excessive human activity. These factors have collectively led to adramatic decline in insect populations. This decline not only threatens the balance of ecosystems but also impacts humanity’s ability to … Read more
EEG Visual Classification Algorithm Based on Improved StackCNN Network and Ensemble Learning Yang Qing1,2,3, Wang Yaqun1,2,3, Wen Dou1,2,3, Wang Ying1,2,3, Wang Xiangyu1,2,3 1. Key Laboratory of Artificial Intelligence and Smart Learning, Central China Normal University; 2. School of Computer Science, Central China Normal University; 3. National Language Resources Monitoring and Research Network Media Center, Central … Read more
Deep Reconstruction Professor Zhang Yi, a doctoral supervisor from Sichuan University, once introduced the basic principles and classic methods of CT reconstruction, as well as the principles and current status of CT reconstruction. In this issue, he will take us to learn about his latest IEEE TMI paper on CT reconstruction using deep learning, which … Read more
Source: DeepHub IMBA This article is about 3300 words, suggested reading time is 10 minutes. This article will introduce the BiTCN model, which utilizes two Temporal Convolutional Networks (TCN) to encode past and future covariates while maintaining computational efficiency. In the field of time series forecasting, model architecture often relies on Multi-Layer Perceptron (MLP) or … Read more
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