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 this project, I intend to generate captions for images in the COCO 2014 dataset using a Encoder-Decoder model ... The encoder that I have used is the pre-trained ResNet-50 architecture (with the ...

This article presents a novel deep convolutional encoder–decoder framework called NL-CoWNet for speckle elimination in OCT images. This despeckling architecture consists of an encoder network having ...

To this end, we introduce, a multi-scale encoder-decoder self-attention (MEDUSA ... the addition of the proposed MEDUSA to the main block of the network architecture (here the ResNet-50 for ...

In our investigation, we introduced a hybrid model architecture ... the encoder and decoder, our hybrid framework integrates fusion and skip connections. The fusion connections facilitate the ...

They trained models, including residual networks (ResNet-18, ResNet-34) and visual geometry group ... architectural approach without an encoder/decoder system. The study underscores the ...