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GitHub1y
GitHub - LaurentVeyssier/Image-Captioning-Project-with-full-Encoder-Decoder-model: Generate caption on images using CNN Encoder- LSTM Decoder structure
Generate caption on images using CNN Encoder- LSTM Decoder structure. This project is the second project of Udacity's Computer Vision Nanodegree and combines computer vision and machine translation ...
GitHub5y
Image Captioning Using CNN-LSTM Encoder-Decoder Model
In this project, I intend to generate captions for images in the COCO 2014 dataset using a Encoder-Decoder model. The Microsoft Common Objects in COntext (MS COCO) dataset is a large-scale dataset for ...
IEEE8y
SCNet: A simplified encoder-decoder CNN for semantic segmentation
We present a simplified and novel fully convolutional neural network (CNN) architecture for semantic pixel-wise segmentation named as SCNet. Different from current CNN pipelines, proposed network uses ...
IEEE1y
CNN based encoder and decoder model for sign language communication
World Health Organization’s report says that there are more than 466 million individuals worldwide who have hearing impairments, with 72 million of them experiencing deafness. In this paper, a model ...
marktechpost1y
Deep Learning Architectures From CNN, RNN, GAN, and Transformers To Encoder-Decoder Architectures - MarkTechPost
Encoder-Decoder Architectures. Encoder-decoder architectures are a broad category of models used primarily for tasks that involve transforming input data into output data of a different form or ...
Slator8mon
A Primer on Decoder-Only vs Encoder-Decoder Models for AI Translation
Large language models (LLMs) have changed the game for machine translation (MT). LLMs vary in architecture, ranging from decoder-only designs to encoder-decoder frameworks. Encoder-decoder models, ...