Image and audio caps: automated captioning of background sounds and images using deep learning
Image recognition based on computers is something human beings have been working on
for many years. It is one of the most difficult tasks in the field of computer science, and …
for many years. It is one of the most difficult tasks in the field of computer science, and …
Invigorate: Interactive visual grounding and grasping in clutter
This paper presents INVIGORATE, a robot system that interacts with human through natural
language and grasps a specified object in clutter. The objects may occlude, obstruct, or even …
language and grasps a specified object in clutter. The objects may occlude, obstruct, or even …
Literature review on vulnerability detection using NLP technology
J Wu - arXiv preprint arXiv:2104.11230, 2021 - arxiv.org
Vulnerability detection has always been the most important task in the field of software
security. With the development of technology, in the face of massive source code, automated …
security. With the development of technology, in the face of massive source code, automated …
[HTML][HTML] Research on cloud data encryption algorithm based on bidirectional activation neural network
Z Man, J Li, X Di, R Zhang, X Li, X Sun - Information Sciences, 2023 - Elsevier
Recently, it has been found that cloud storage still has security risks, and research on the
security and privacy of user data and information is still in the early stage. This paper studies …
security and privacy of user data and information is still in the early stage. This paper studies …
Probabilistic SAR-based water segmentation with adapted Bayesian convolutional neural network
V Hertel, C Chow, O Wani, M Wieland… - Remote Sensing of …, 2023 - Elsevier
Geospatial resources, including satellite-based synthetic aperture radar (SAR) and optical
data, have been instrumental in providing time-sensitive information about the extent and …
data, have been instrumental in providing time-sensitive information about the extent and …
Image caption generation using a dual attention mechanism
In order to create a statement that accurately captures the main idea of an ambiguous visual,
which is said to be a significant and demanding task? Conventional image captioning …
which is said to be a significant and demanding task? Conventional image captioning …
Image-based storytelling using deep learning
Y Zhu, WQ Yan - Proceedings of the 5th International Conference on …, 2022 - dl.acm.org
In order to describe a journey, a story could be automatically generated from a group of
digital photographs. Most of the existing methods focus on descriptions of specific content of …
digital photographs. Most of the existing methods focus on descriptions of specific content of …
A rapid combined model for automatic generating web UI codes
W Zhang, S Luan, L Tian - Wireless Communications and …, 2022 - Wiley Online Library
Encoder‐Decoder network is usually applied to image caption to automatically generate
descriptive text for a picture. Web user interface (Web UI) is a special type of image and is …
descriptive text for a picture. Web user interface (Web UI) is a special type of image and is …
Is deep learning good enough for software defect prediction?
SK Pandey, A Haldar, AK Tripathi - Innovations in Systems and Software …, 2023 - Springer
Due to high impact of internet technology and rapid change in software systems, it has been
a tough challenge for us to detect software defects with high accuracy. Traditional software …
a tough challenge for us to detect software defects with high accuracy. Traditional software …
Transforming Healthcare: Leveraging Vision-Based Neural Networks for Smart Home Patient Monitoring.
Image captioning is a promising technique for remote monitoring of patient behavior,
enabling healthcare providers to identify changes in patient routines and conditions. In this …
enabling healthcare providers to identify changes in patient routines and conditions. In this …