Attribute|driven Attention Model for Image Captioning

A Survey on Attention-Based Models for Image Captioning

The captioning task is concerned with understanding the image using computer vision methods. Then, natural language processing methods are used ...

Attention on Attention for Image Captioning - CVF Open Access

We apply AoA to both the encoder and the decoder of our image captioning model, which we name as AoA Network ... Boosting image captioning with attributes.

Remote Sensing Image Captioning with Label-Attention Mechanism

Secondly, the image features and last hidden state will be used to calculate the attention masks in models applied LAM. Image features can be ...

A Comparative Study of Pre-trained CNNs and GRU-Based ... - arXiv

... attention-based captioning models may learn where to focus on the image. ... Han, "Show, Observe and Tell: Attribute-driven Attention Model for Image Captioning," ...

Image Captioning With End-to-End Attribute Detection and ...

The core of semantic attention based methods is to drive the model to attend to semantically important words, or attributes. In previous works, ...

Generating Image Captions Using Bahdanau Attention Mechanism ...

However, an accurate image caption prediction requires a model to understand the semantic relationship that exists between the various objects present in an ...

[PDF] Image Captioning with Semantic Attention

This paper proposes a new algorithm that combines top-down and bottom-up approaches to natural language description through a model of semantic attention, ...

Automatic Generation of Image Caption Based on Semantic ...

Our primary contribution is to propose an encoder and decoder model to automatically create a semantic caption on the image based on the semantic contextual ...

Image Captioning with a Joint Attention Mechanism by Visual ...

However, even though the attention mechanism could offer accurate subregions to train a model, the learned captioner may predict wrong, especially for visual ...

An Attention Mechanism and GRU Based Deep Learning Model for ...

Image captioning using template-based methods and retrieval based approach had some limitations like missing important objects and other attributes. Later on, ...

Social Image Captioning: Exploring Visual Attention and User ...

Most existing image captioning models cannot be applied directly to social image captioning. In this work, a dual attention model is proposed ...

Image Caption Generator Using Attention Based Neural Networks

The attention mechanism used in this model is Bahdanau attention, and the Flickr-8Kdataset is utilized for training the model. The results ...

BOOSTING IMAGE CAPTIONING WITH ATTRIBUTES - OpenReview

Ours is fundamentally different in the way that (You et al., 2016) is as a result of utilizing attributes to model semantic attention to the locally previous ...

US11244111B2 - Adaptive attention model for image captioning

The technology disclosed presents a novel spatial attention model that uses current hidden state information of a decoder long short-term memory (LSTM) to ...

Boosting Image Captioning with Attributes - Microsoft

attributes to model semantic attention to the locally previ- ous words, as opposed to holistically employing attributes as a kind of complementary ...

Text-Guided Attention Model for Image Captioning - Academia.edu

The image captioning task generalizes object detection where the descriptions are a single word. Recently, most research on image captioning has focused on deep ...

Stimulus-driven and concept-driven analysis for image caption ...

Our attention model relies on a combination of convolutional neural network (CNN) over images and long-short term memory (LSTM) network over sentences.

Multi-Modal Methods: Image Captioning (From Translation to ...

... visual concepts (regions, objects, attributes, etc.). We employ a ... Text-guided Attention Model for Image Captioning, from Mun et al.

Automatic Image Captioning Based on ResNet50 and LSTM with ...

In this paper, we present one joint model AICRL, which is able to conduct the automatic image captioning based on ResNet50 and LSTM with soft attention.

Attention-based Image Captioning with Keras - Posit AI Blog

In this post, we demonstrate a formulation of image captioning as an encoder-decoder problem, enhanced by spatial attention over image grid cells.