Medical artificial intelligence (AI) faces a fundamental challenge: uncertainty quantification. Artificial neural networks ...
The ESC-50 dataset is a labeled collection of 2000 environmental audio recordings suitable for benchmarking methods of environmental sound classification. The dataset consists of 5-second-long ...
High-performance scene classification in remote sensing imagery using a custom deep CNN architecture
Object detection in remote sensing imagery plays a vital role across various fields, including industrial monitoring, agricultural assessment, and military surveillance (D’Acremont et al., 2019) 1.
Abstract: The deep neural network has promoted the design of excellent multi-classification methods for medical images. Owing to attractive advantages: white-box attribute, strong logical expression ...
Although the Vision Transformer architecture has become widely accepted as the standard for image classification tasks, using it for object detection in computer vision poses significant challenges.
Introduction: Fruit diseases have a serious impact on fruit production, causing a significant drop in economic returns from agricultural products. Due to its excellent performance, deep learning is ...
Abstract: The development of accurate methods for multi-label classification (MLC) of remote sensing (RS) images is one of the most important research topics in RS. The MLC methods based on ...
Diabetic retinopathy (DR) is a microvascular complication of both type 1 and type 2 diabetes mellitus, which causes abnormalities in the retina and is a leading cause of blindness in the world. About ...
1 School of Computer Science & Technology, Dalian University of Technology, Dalian, China. 2 School of Computer Science & Technology, Xinjiang Normal University, Urumqi, China. Nowadays, crop diseases ...
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