Sep 24, 2023 · This paper discusses various working algorithms such as a combination of CNN-RNN, encoder-decoder, attention mechanisms, and transformation models.

Given an image, generates a caption for it using two different neural networks; Convolutional Neural Network (CNN) and Long Short Term Memory Network (LSTM).

Deep Learning has shown great potential in developing applications capable of automatically generating captions or descriptions for images and video frames.

Sep 5, 2024 · Long Short-Term Memory (LSTM) is a recurrent neural network (RNN) architecture commonly used in image captioning. LSTM networks can capture long ...

Sep 23, 2023 · This paper discusses various working algorithms such as a combination of CNN-RNN, encoder-decoder, attention mechanisms, and transformation ...

Jan 11, 2023 · The objective of our project is to learn the concepts of a CNN and LSTM model and build a working model of Image caption generator by ...

Image captioning using Xception-long short-term memory. https://doi.org/10.1007/978-3-031-44084-7_3 · Journal: Mining Intelligence and Knowledge Exploration

Feb 14, 2022 · It encodes images to a high-level representation then decodes this representation using a language generation model, like Long Short-Term Memory ...

Mar 31, 2022 · We came up with the idea of developing a image captioning model using different combinations of Convolutional Neural Network architecture along with Long Short ...

This research study also discussed the commonly used models, the VGG16 and. Xception, while using the Long short-term memory (LSTM) for the text generation.