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Nov 9, 2021 · Our objective in this work is to use existing image captioning architectures and extend it to develop an architecture to recognize activity happening in an ...
Our objective in this work is to use existing image captioning architectures and extend it to develop an architecture to recognize activity happening in an ...
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Deep Learning-Based Image Captioning Used to Recognize ...
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There are existing deep learning architectures in computer vision that can detect fire, smoke, accident on highways, or any other malicious or emergencies, but ...
Jul 14, 2021 · This work aims at providing a comprehensive overview of image captioning approaches, from visual encoding and text generation to training strategies, datasets, ...
Missing: Used Malicious Emergency Activity
Jan 22, 2023 · Automatic caption generation can help us identify these events and can be used to alert users to view the images/videos and take action.
Aug 11, 2022 · This paper proposes an image-captioning method that generates captions over encrypted images using an encoder–decoder framework with attention and a double ...
Missing: Malicious Activity
Deep LearningBased Image Captioning Used to Recognize Malicious or Emergency Activity in an Image. 19. Deep Learning Approaches for Personal Identification ...
An adaptive neuro-fuzzy inference for blockchain-based ... Deep Learning-Based Image Captioning Used to Recognize Malicious or Emergency Activity in an Image.
Image captioning is one of the fundamental problems of computer vision technology. Our objective in this work is to use existing image captioning architectures ...
Mar 23, 2023 · Automatic image description, also known as image captioning, aims to describe the elements included in an image and their relationships.
Missing: Malicious Emergency