Transformer-Based Decoder Designs for Semantic Segmentation on Remotely Sensed Images

Transformers have demonstrated remarkable accomplishments in several natural language processing (NLP) tasks as well as image processing tasks. Herein, we present a deep-learning (DL) model that is capable of improving the semantic segmentation network in two ways. First, utilizing the pre-training...

Descrición completa

Detalles Bibliográficos

Principais autores:	Teerapong Panboonyuen, Kulsawasd Jitkajornwanich, Siam Lawawirojwong, Panu Srestasathiern, Peerapon Vateekul
Formato:	Artigo
Idioma:	Inglês
Publicado:	MDPI AG 2021-12-01
Series:	Remote Sensing
Assuntos:	vision transformer fully transformer networks convolutional neural network feature pyramid network high-resolution representations ISPRS Vaihingen
Acceso en liña:	https://www.mdpi.com/2072-4292/13/24/5100
Tags:	Engadir etiqueta Sen Etiquetas, Sexa o primeiro en etiquetar este rexistro!