From image to language: A critical analysis of visual question answering (vqa) approaches, challenges, and opportunities
The multimodal task of Visual Question Answering (VQA) encompassing elements of
Computer Vision (CV) and Natural Language Processing (NLP), aims to generate answers …
Computer Vision (CV) and Natural Language Processing (NLP), aims to generate answers …
CLVIN: Complete language-vision interaction network for visual question answering
C Chen, D Han, X Shen - Knowledge-Based Systems, 2023 - Elsevier
The emergence of the Transformer optimizes the interactive modeling of multimodal
information in visual question answering (VQA) tasks, helping machines better understand …
information in visual question answering (VQA) tasks, helping machines better understand …
Reliable visual question answering: Abstain rather than answer incorrectly
Abstract Machine learning has advanced dramatically, narrowing the accuracy gap to
humans in multimodal tasks like visual question answering (VQA). However, while humans …
humans in multimodal tasks like visual question answering (VQA). However, while humans …
A Bayesian theory of mind approach to modeling cooperation and communication
Abstract Language has been widely acknowledged as the benchmark of intelligence.
However, evidence from cognitive science shows that intelligent behaviors in robust social …
However, evidence from cognitive science shows that intelligent behaviors in robust social …
Excalibur: Encouraging and evaluating embodied exploration
Experience precedes understanding. Humans constantly explore and learn about their
environment out of curiosity, gather information, and update their models of the world. On the …
environment out of curiosity, gather information, and update their models of the world. On the …
An optimized capsule neural networks for tomato leaf disease classification
Plant diseases have a significant impact on leaves, with each disease exhibiting specific
spots characterized by unique colors and locations. Therefore, it is crucial to develop a …
spots characterized by unique colors and locations. Therefore, it is crucial to develop a …
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 …
Dual-decoder transformer network for answer grounding in visual question answering
Abstract Visual Question Answering (VQA) have made stunning advances by exploiting
Transformer architecture and large-scale visual-linguistic pretraining. State-of-the-art …
Transformer architecture and large-scale visual-linguistic pretraining. State-of-the-art …
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 …
Visual Concrete Bridge Defect Classification and Detection Using Deep Learning: A Systematic Review
Visual inspection is an important process for maintaining bridges in road transportation
systems, and preventing catastrophic events and tragedies. In this process, accurate and …
systems, and preventing catastrophic events and tragedies. In this process, accurate and …