The American company Owl Autonomous Imaging’s Thermal Ranger system can locate and classify targets such as pedestrians in the dark using only a thermal infrared camera and a trained Convolutional Neural Network (CNN). Thermal imaging is particularly suitable for imaging after dark, as it relies on the infrared energy emitted by objects themselves rather than … Read more
“Academic Window” is a paper recommendation column launched by the Academic Research Department of the Graduate Affairs Center of the School of Computer Science and Technology, aimed at recommending and sharing the latest academic achievements and classic papers in various fields of computer science to students. In the future, it will be pushed on this … Read more
The few-shot problem in image tasks (where insufficient training data makes it difficult for models to learn effective and generalized features) is widespread due to challenges such as high costs of data labeling and uneven sample distribution. This can lead to models overfitting on few samples and classifiers being biased towards the majority class due … Read more
1 Content Introduction The safe and stable operation of the power system is closely related to the development of the national economy and the safety of personal property. Accurate short-term load forecasting results are important for the power grid to guide the power system in formulating generation plans, coordinating unit operations, scheduling load distribution, and … Read more
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