A two-stream encoder–decoder framework is taken as the backbone to exploit and fuse the hierarchical features from all the convolutional layers of multitemporal HS images. Within the encoder–decoder, ...

Before 2015 when the first attention model was proposed, machine translation was based on the simple encoder-decoder model, a stack of RNN and LSTM layers. The encoder is used to process the entire ...

Myronenko (2018) won the BraTS 2018 challenge with a segmentation network based on the encoder–decoder architecture. An asymmetric encoder is used to extract features, and then two decoders segment ...

Describing Multimedia Content using Attention-based Encoder–Decoder Networks. arXiv:1507.01053 (2015) [4] Xu, Kelvin, et al. Show, attend and tell: Neural image caption generation with visual ...