In this experiment, I implemented the LSTM decoder for an image captioning neural network, as described in the Show and Tell: A Neural Image Caption Generator paper. I also implemented the beam search ...

Encoder-Decoder Architecture CNN Encoder: The CNN serves as the feature extractor in our architecture. We use a pre-trained CNN model, specifically either VGG16 or ResNet-50, which are known for their ...

In unsupervised medical image registration, encoder-decoder architectures are widely used to predict dense, full-resolution displacement fields from paired images. Despite their popularity, we ...

Convolutional auto-encoders have shown their remarkable performance in stacking deep convolutional neural networks for classifying image data during the past several years. However, they are unable to ...