Integration of CNNs and RNNs The encoder-decoder framework, where a CNN serves as the encoder and an RNN as the decoder, became a cornerstone in image captioning. This model architecture was ...

ABSTRACT: This paper presents an image captioning model that combines a Convolutional Neural Network (CNN) as an encoder to extract visual features from images, and a Long Short-Term Memory (LSTM) ...

Images are essential for communicating ideas, feelings, and narratives in the era of digital media and content consumption. Computers to produce textual data for an image that replaces humans. Image ...

This task is known as the Image Captioning task. Researchers used many methodologies to approach this problem. One of these methodologies is the encoder-decoder neural network [4]. The encoder ...

On the other hand, encoder-decoder approaches are good at image captioning and visual question answering but not retrieval-style tasks. Google AI researchers provide a unified vision backbone model ...

Google is offering free AI courses that can help professionals and students to upskill themselves. From introduction into ...