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 ...

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 ...

The RNN decoder takes the output of the CNN encoder as its input. It generates a sequence of words describing the image using a recurrent neural network, such as a Long Short-Term Memory (LSTM) ...

Besides, the study also uses encoder and decoder structure on the CNN algorithm to obtain the closest expected output. Compared to traditional object counting methods, such as localization and density ...

In this paper, we propose a novel encoder-decoder network named TCRNet, which makes Transformer, Convolutional neural network (CNN) and Recurrent neural network (RNN) complement each other. In the ...