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 ...

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.

Weed suppression is one of the greatest factors affecting crop production. The weeds could compete with crops for water, light, fertilizer, growth space, other nutrients, etc., resulting in reduction ...

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 ...

@article {Ter-Sarkisov2020.10.11.20211052, author = {Ter-Sarkisov, Aram}, title = {COVID-CT-Mask-Net: Prediction of COVID-19 from CT Scans Using Regional Features ...

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 ...