The multi-modal fusion in visual question answering: a review of attention mechanisms
Abstract Visual Question Answering (VQA) is a significant cross-disciplinary issue in the
fields of computer vision and natural language processing that requires a computer to output …
fields of computer vision and natural language processing that requires a computer to output …
Generative adversarial framework for cold-start item recommendation
The cold-start problem has been a long-standing issue in recommendation. Embedding-
based recommendation models provide recommendations by learning embeddings for each …
based recommendation models provide recommendations by learning embeddings for each …
Graph neural networks in vision-language image understanding: A survey
Abstract 2D image understanding is a complex problem within computer vision, but it holds
the key to providing human-level scene comprehension. It goes further than identifying the …
the key to providing human-level scene comprehension. It goes further than identifying the …
[HTML][HTML] Multi-modal information analysis for fault diagnosis with time-series data from power transformer
Z Xing, Y He - International Journal of Electrical Power & Energy …, 2023 - Elsevier
Fault diagnosis is important to the timely repair of the power transformer. However, machine
learning has not been exploited effectively for fault diagnosis due to the limitation of multi …
learning has not been exploited effectively for fault diagnosis due to the limitation of multi …
Dual self-attention with co-attention networks for visual question answering
Abstract Visual Question Answering (VQA) as an important task in understanding vision and
language has been proposed and aroused wide interests. In previous VQA methods …
language has been proposed and aroused wide interests. In previous VQA methods …
ALSA: adversarial learning of supervised attentions for visual question answering
Y Liu, X Zhang, Z Zhao, B Zhang… - IEEE transactions on …, 2020 - ieeexplore.ieee.org
Visual question answering (VQA) has gained increasing attention in both natural language
processing and computer vision. The attention mechanism plays a crucial role in relating the …
processing and computer vision. The attention mechanism plays a crucial role in relating the …
Inverse adversarial diversity learning for network ensemble
Network ensemble aims to obtain better results by aggregating the predictions of multiple
weak networks, in which how to keep the diversity of different networks plays a critical role in …
weak networks, in which how to keep the diversity of different networks plays a critical role in …
A multi-level mesh mutual attention model for visual question answering
Visual question answering is a complex multimodal task involving images and text, with
broad application prospects in human–computer interaction and medical assistance …
broad application prospects in human–computer interaction and medical assistance …
Counting-based visual question answering with serial cascaded attention deep learning
T MeshuWelde, L Liao - Pattern Recognition, 2023 - Elsevier
The counting-based questions play a major part in Visual Question Answering (VQA), the
most challenging factor is counting the different objects present in the images. Recently …
most challenging factor is counting the different objects present in the images. Recently …
Dynamic self-attention with vision synchronization networks for video question answering
Abstract Video Question Answering (VideoQA) has gained increasing attention as an
important task in understanding the rich spatio-temporal contents, ie, the appearance and …
important task in understanding the rich spatio-temporal contents, ie, the appearance and …