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 ...

Since both encoder and decoder models are learned (meaning they can be re-trained), the same encoder or decoder architecture can be specialised for different tasks.

In image segmentation by deep learning, encoder-decoder Convolutional Neural Network (CNN) architectures are fundamental for creating and learning representations. However, with many filters in these ...

This paper proposes a new encoder-decoder frame-work based on Convolutional Neural Networks (CNN) for feature extraction and Long Short-Term Memory (LSTM) networks for image caption generation. Image ...

WOODCLIFF LAKE, NJ USA -- June 12 2018 -- Semiconductor intellectual property provider CAST, Inc. has released a JPEG-LS Decoder IP core that—together with the JPEG-LS Encoder already ...

Then, the brain encoder learns to align the MEG signals to those image embeddings. Finally, the image decoder creates a plausible image based on those brain representations.

Further, while previous PNG decoder cores only support 8-bit colors, the PNG-D can process RGB and RGBA images with 8 or 16 bits per color. “IObundle has designed the PNG-D to deliver reliable PNG ...