Abstract: As one of the core tasks in vision recognition, image classification is widely used in various scenarios. Most existing mainstream image classification models use the Convolutional Neural ...

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. Figure 1 illustrates the overall workflow of the hyperspectral ...

ABSTRACT: Waste generation in Kenya has been increasing with the rapid urbanization (Haregu et al., 2017; Okot-Okumu, 2012). Almost 50% of the waste is generated in urban centers, and 0.5 kg per ...

Abstract: This case study compares supervised pixel-based and object-based image classification approaches applied to very high spatial resolution RGB imagery acquired by an unmanned aerial vehicle ...

1 School of Electronics and Electrical Engineering, Zhengzhou University of Science and Technology, Zhengzhou, China 2 Department of Mechanical and Electrical Engineering, Henan Vocational College of ...

Classifying corn varieties presents a significant challenge due to the high-dimensional characteristics of hyperspectral images and the complexity of feature extraction, which hinder progress in ...

The best way we have found to see and copy image IDs is to browse the official Roblox store. Here, you can search, sort, and filter for anything you want. You can easily copy the code from there, but ...

The concept bottleneck model (CBM), as a technique improving interpretability via linking pre- dictions to human-understandable concepts, makes high-risk and life-critical medical image classification ...