Backbones-review: Feature extraction networks for deep learning and deep reinforcement learning approaches
To understand the real world using various types of data, Artificial Intelligence (AI) is the
most used technique nowadays. While finding the pattern within the analyzed data …
most used technique nowadays. While finding the pattern within the analyzed data …
Image inpainting: A review
Although image inpainting, or the art of repairing the old and deteriorated images, has been
around for many years, it has recently gained even more popularity, because of the recent …
around for many years, it has recently gained even more popularity, because of the recent …
An encoder–decoder-based method for segmentation of COVID-19 lung infection in CT images
The novelty of the COVID-19 Disease and the speed of spread, created colossal chaotic,
impulse all the worldwide researchers to exploit all resources and capabilities to understand …
impulse all the worldwide researchers to exploit all resources and capabilities to understand …
Encoder-decoder architecture for ultrasound IMC segmentation and cIMT measurement
Cardiovascular diseases (CVDs) have shown a huge impact on the number of deaths in the
world. Thus, common carotid artery (CCA) segmentation and intima-media thickness (IMT) …
world. Thus, common carotid artery (CCA) segmentation and intima-media thickness (IMT) …
Moving object detection using an adaptive background subtraction method based on block-based structure in dynamic scene
Today, determining background which forms the basis of the video surveillance system
whose use is increasing in parallel with developing technology, is a complicated process to …
whose use is increasing in parallel with developing technology, is a complicated process to …
A review of advances in image inpainting research
H Li, L Hu, J Liu, J Zhang, T Ma - The Imaging Science Journal, 2023 - Taylor & Francis
The aim of image inpainting is to fill in damaged areas according to certain rules based on
information about the adjacent positions of missing areas and the overall structure of the …
information about the adjacent positions of missing areas and the overall structure of the …
Mhad: multi-human action dataset
This paper presents a framework for a multi-action recognition method. In this framework, we
introduce a new approach to detect and recognize the action of several persons within one …
introduce a new approach to detect and recognize the action of several persons within one …
Contextual Attention Mechanism, SRGAN Based Inpainting System for Eliminating Interruptions from Images
N Darapaneni, V Kherde, K Rao, D Nikam… - arXiv preprint arXiv …, 2022 - arxiv.org
The new alternative is to use deep learning to inpaint any image by utilizing image
classification and computer vision techniques. In general, image inpainting is a task of …
classification and computer vision techniques. In general, image inpainting is a task of …
Vehicle Counting Based on Road Lines
In a traffic system using data from a video surveillance camera (CCTV), vehicle detection is
one of the essential tasks. It will lead us to collect traffic information in real-time to avoid …
one of the essential tasks. It will lead us to collect traffic information in real-time to avoid …
Attention-based Network for Image/Video Salient Object Detection
The goal of video or image salient object detection is to identify the most important object in
the scene, which can be helpful in many computer vision-based tasks. As the human vision …
the scene, which can be helpful in many computer vision-based tasks. As the human vision …