Advances in manta ray foraging optimization: A comprehensive survey
FS Gharehchopogh, S Ghafouri, M Namazi… - Journal of Bionic …, 2024 - Springer
This paper comprehensively analyzes the Manta Ray Foraging Optimization (MRFO)
algorithm and its integration into diverse academic fields. Introduced in 2020, the MRFO …
algorithm and its integration into diverse academic fields. Introduced in 2020, the MRFO …
Graph neural networks for visual question answering: a systematic review
Recently, visual question answering (VQA) has gained considerable interest within the
computer vision and natural language processing (NLP) research areas. The VQA task …
computer vision and natural language processing (NLP) research areas. The VQA task …
Multilevel attention and relation network based image captioning model
H Sharma, S Srivastava - Multimedia Tools and Applications, 2023 - Springer
The aim of the image captioning task is to understand various semantic concepts such as
objects and their relationships in an image and combine them to generate a natural …
objects and their relationships in an image and combine them to generate a natural …
A hybrid improved manta ray foraging optimization with Tabu search algorithm for solving the UAV placement problem in smart cities
The concept of smart cities is to enhance the life quality of residents and provide efficient
services by integrating advanced information and communication technologies, autonomous …
services by integrating advanced information and communication technologies, autonomous …
Improving visual question answering by combining scene-text information
The text present in natural scenes contains semantic information about its surrounding
environment. For example, the majority of questions asked by blind people related to images …
environment. For example, the majority of questions asked by blind people related to images …
Graph neural network-based visual relationship and multilevel attention for image captioning
H Sharma, S Srivastava - Journal of Electronic Imaging, 2022 - spiedigitallibrary.org
With the remarkable success of the image captioning tasks, visual attention methods have
become a vital part of captioning models. However, most attention-based image captioning …
become a vital part of captioning models. However, most attention-based image captioning …
A framework for image captioning based on relation network and multilevel attention mechanism
H Sharma, S Srivastava - Neural Processing Letters, 2023 - Springer
Understanding different semantic concepts, such as objects and their relationships in an
image, and integrating them to produce a natural language description is the goal of the …
image, and integrating them to produce a natural language description is the goal of the …
Image Captioning based on Deep Convolutional Neural Networks and LSTM
S Srivastava, H Sharma, P Dixit - 2022 2nd International …, 2022 - ieeexplore.ieee.org
Image captioning is a challenging task that needs the knowledge from both computer vision
algorithms and language processing techniques. The model must be able to understand an …
algorithms and language processing techniques. The model must be able to understand an …
Dual capsule attention mask network with mutual learning for visual question answering
W Tian, H Li, ZQ Zhao - … of the 29th International Conference on …, 2022 - aclanthology.org
Abstract A Visual Question Answering (VQA) model processes images and questions
simultaneously with rich semantic information. The attention mechanism can highlight fine …
simultaneously with rich semantic information. The attention mechanism can highlight fine …
Visual question answering model based on the fusion of multimodal features by a two-way co-attention mechanism
H Sharma, S Srivastava - The Imaging Science Journal, 2021 - Taylor & Francis
ABSTRACT Scene Text Visual Question Answering (VQA) needs to understand both the
visual contents and the texts in an image to predict an answer for the image-related …
visual contents and the texts in an image to predict an answer for the image-related …