Transformer and CNN Hybrid Deep Neural Network for Semantic Segmentation of Very-high-resolution Remote Sensing Imagery
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2022.3144894
Abstract: This paper presents a transformer and CNN hybrid deep neural network for semantic segmentation of very-high-resolution remote sensing imagery. The model follows an encoder-decoder structure. The encoder module uses a new universal backbone swin transformer… read more here.
Keywords: network; cnn hybrid; remote sensing; transformer cnn ... See more keywords
Diabetic Retinopathy Classification Using CNN and Hybrid Deep Convolutional Neural Networks
Sign Up to like & getrecommendations! Published in 2022 at "Symmetry"
DOI: 10.3390/sym14091932
Abstract: Diabetic Retinopathy (DR) is an eye condition that mainly affects individuals who have diabetes and is one of the important causes of blindness in adults. As the infection progresses, it may lead to permanent loss… read more here.
Keywords: cnn hybrid; cnn densenet; classification; hybrid cnn ... See more keywords