Recent works on learned image coding using autoencoder models have achieved promising results in rate-distortion performance. Typically, an autoencoder is used to transform an image into a latent ...

RGB-D image classification based on convolutional neural networks have been extensively explored recently. However, they suffer from problems of effective representation of RGB-D image, intra-class ...

This study presents a robust architectural framework designed to automate the detection of pinworm parasite eggs in microscopic images. The proposed approach, the YOLO Convolutional Block Attention ...