Margarita N. Favorskaya
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View article: SF-CODnet: Spatial-Frequency Framework with Weak Sample Learning Strategy for Detecting Camouflaged Wildlife Objects
SF-CODnet: Spatial-Frequency Framework with Weak Sample Learning Strategy for Detecting Camouflaged Wildlife Objects Open
The problem of camouflaged object detection (COD) is to identify hidden objects in their environment. This problem remained unsolved for many years until the advent of deep learning methods. The style of invisibility of the camouflaged obj…
View article: Unsupervised Image Captioning Based on Instance Segmentation for Person Re-Identification
Unsupervised Image Captioning Based on Instance Segmentation for Person Re-Identification Open
The invention of vision-language models such as CLIP (Contrastive Language-Image Pre-training) has had a positive impact on various image classification tasks, including the task of person re-identification (Re-ID), which aims to detect a …
View article: Unsupervised Framework for Multi-Task Restoration of Natural Images under Adverse Weather Conditions
Unsupervised Framework for Multi-Task Restoration of Natural Images under Adverse Weather Conditions Open
Adverse weather conditions can be an obstacle to recognizing animals in images captured by camera traps. Obviously, recognizing night images becomes more difficult when artifacts such as snow, rain, fog, or haze appear during shooting. Typ…
View article: Study on Unsupervised Instance Segmentation Models for Person Re-Identification
Study on Unsupervised Instance Segmentation Models for Person Re-Identification Open
Unsupervised instance segmentation for person re-identification is mainly used in challenging cases such as occluded person re-identification and 3D re-identification. Furthermore, unsupervised instance segmentation can be considered as an…
View article: Semantically-Based Animal Pose Estimation in the Wild
Semantically-Based Animal Pose Estimation in the Wild Open
Accurate animal pose estimation in the wild is potentially useful for many downstream applications such as wildlife conservation. Currently, the main approach to assessing animal poses is based on identifying keypoints of the body and cons…
View article: Restoration of Semantic-Based Super-Resolution Aerial Images
Restoration of Semantic-Based Super-Resolution Aerial Images Open
Currently, technologies for remote sensing image processing are actively developing, including both satellite images and aerial images obtained from video cameras of unmanned aerial vehicles. Often such images have artifacts such as low re…
View article: Retraction Note to: Advances in Decision Sciences, Image Processing, Security and Computer Vision
Retraction Note to: Advances in Decision Sciences, Image Processing, Security and Computer Vision Open
View article: ACCURATE CELL SEGMENTATION IN BLOOD SMEAR IMAGES BASED ON COLOR ANALYSIS AND CNN MODELS
ACCURATE CELL SEGMENTATION IN BLOOD SMEAR IMAGES BASED ON COLOR ANALYSIS AND CNN MODELS Open
Nowadays, automated blood cell evaluation play a major role in the classification and diagnosis of diseases. Despite the many possible ways to segment blood cells, the recognition efficiency remains insufficient, especially when different …
View article: SF-SRGAN: PROGRESSIVE GAN-BASED FACE HALLUCINATION
SF-SRGAN: PROGRESSIVE GAN-BASED FACE HALLUCINATION Open
Facial hallucination is a technique that has emerged recently thanks to advances in deep learning. It can be used in various tasks such as face recognition in the wild, human identification, pedestrian re-identification, face analysis, and…
View article: Deep Learning for Visual SLAM: The State-of-the-Art and Future Trends
Deep Learning for Visual SLAM: The State-of-the-Art and Future Trends Open
Visual Simultaneous Localization and Mapping (VSLAM) has been a hot topic of research since the 1990s, first based on traditional computer vision and recognition techniques and later on deep learning models. Although the implementation of …
View article: Verification of Marine Oil Spills Using Aerial Images Based on Deep Learning Methods
Verification of Marine Oil Spills Using Aerial Images Based on Deep Learning Methods Open
The article solves the problem of verifying oil spills on the water surfaces of rivers, seas and oceans using optical aerial photographs, which are obtained from cameras of unmanned aerial vehicles, based on deep learning methods. The spec…
View article: Building depth maps for detection of presentation attacks in face recognition systems
Building depth maps for detection of presentation attacks in face recognition systems Open
View article: Monocular depth-based visual tracker for gait recognition
Monocular depth-based visual tracker for gait recognition Open
Recognition of human gait in the wild remains a weakly studied problem due to many factors. One of these factors is how to estimate the distance and location of a person in relation to the camera in order to find the best position for visu…
View article: Intelligent Manufacturing and Energy Sustainability
Intelligent Manufacturing and Energy Sustainability Open
View article: Texture classification in aerial photographs using multiscale and multilayer complex networks
Texture classification in aerial photographs using multiscale and multilayer complex networks Open
Texture classification using oriented complex networks considers the functional connections between topological elements and simulates the complex textures more accurately. In contrast to the classical spatial texture analysis, we offer a …
View article: PATCH-BASED ADAPTIVE IMAGE AND VIDEO WATERMARKING SCHEMES ON HANDHELD MOBILE DEVICES
PATCH-BASED ADAPTIVE IMAGE AND VIDEO WATERMARKING SCHEMES ON HANDHELD MOBILE DEVICES Open
Mobile devices provide a huge amount of multimedia information sending to the members of social groups every day. Sometimes it is required to authorize the sending information using the limited computational resources of smartphones, table…
View article: Semantic segmentation of multispectral satellite images for land use analysis based on embedded information
Semantic segmentation of multispectral satellite images for land use analysis based on embedded information Open
Semantic segmentation of satellite and aerial imageries has many applications including automated map making, land use analysis, urban planning and so on. This paper presents a special type of semantic segmentation. First, the boundaries o…
View article: Fake Face Image Detection Using Deep Learning-Based Local and Global Matching
Fake Face Image Detection Using Deep Learning-Based Local and Global Matching Open
The widespread adoption of face recognition systems in practice has provoked multiple attempts to fail these systems in order to impersonate another person.The range of such fake attacks is wide, and methods which can be used to compensate…
View article: Adaptive HVS objectivity-based watermarking scheme for copyright protection
Adaptive HVS objectivity-based watermarking scheme for copyright protection Open
During copyright protection of multimedia recourses, the imperceptibility and robustness of digital watermarks can be improved through basic rules of the Human Visual System (HVS). This trend is based on the physiological researches begun …
View article: Application of bar coding for digital watermarking of video sequences based on frequency transforms
Application of bar coding for digital watermarking of video sequences based on frequency transforms Open
Introduction: Owners of multimedia products face an important problem of protecting their digital data. An effective way to solve it is digital watermarking of video sequences. The challenge is the need to improve the digital watermark tol…
View article: IMPACT OF COVID-19 ON AERONAUTICAL ENGINEERING
IMPACT OF COVID-19 ON AERONAUTICAL ENGINEERING Open
The world today is experiencing what no one had anticipated as one of the worst pandemics of all time.Industries are struggling to stay afloat, given the uncertainty of when all this will be over. One such sector to be impacted is the aero…
View article: Category Classification of Tree States Using Visual Data Based on Fuzzy Logic
Category Classification of Tree States Using Visual Data Based on Fuzzy Logic Open
Introduction: A reliable assessment of tree condition directly affects the planning of economic indicators for the use of forest resources and ecological actions for forest protection. Therefore, the correct evaluation of the sanitary stat…
View article: Study of digital textual watermarking distortions under Internet attacks in high resolution videos
Study of digital textual watermarking distortions under Internet attacks in high resolution videos Open
Multimedia content transmitted through the unprotected channels include several types of information, such as text messages, audio, images, and video sequences. Each type of embedded information can be distorted under various attacks with …
View article: Robust textual watermarking for high resolution videos based on Code-128 barcoding and DWT
Robust textual watermarking for high resolution videos based on Code-128 barcoding and DWT Open
Embedding of hidden textual information is often met in many applications, and traditionally a textual watermark is represented as an image. The attempts to hide textual data as a set of codes in spatial domain of the host image lead to hi…
View article: DIGITAL WATERMARKING OF 3D MEDICAL VISUAL OBJECTS
DIGITAL WATERMARKING OF 3D MEDICAL VISUAL OBJECTS Open
At present, medical equipment provides often 3D models of scanning organs instead of ordinary 2D images. This concept is supported by Digital Imaging and COmmunications in Medicine (DICOM) standard available for telemedicine. This means th…
View article: THE STUDY OF ACTIVATION FUNCTIONS IN DEEP LEARNING FOR PEDESTRIAN DETECTION AND TRACKING
THE STUDY OF ACTIVATION FUNCTIONS IN DEEP LEARNING FOR PEDESTRIAN DETECTION AND TRACKING Open
Pedestrian detection and tracking remains a highlight research topic due to its paramount importance in the fields of video surveillance, human-machine interaction, and tracking analysis. At present time, pedestrian detection is still an o…
View article: Animal species recognition in the wildlife based on muzzle and shape features using joint CNN
Animal species recognition in the wildlife based on muzzle and shape features using joint CNN Open
Monitoring of animal behavior in the wild supposes the reliable techniques for their species recognition using, mainly, visual data captured by camera traps. In this paper, we propose to extent Convolutional Neural Network (CNN) VGG by thr…
View article: Feature-based synchronization correction for multilevel watermarking of medical images
Feature-based synchronization correction for multilevel watermarking of medical images Open
Desynchronization attacks cause the global geometric displacements such as Rotation, Scaling, and Translation (RST) of the watermarked image. One of promising way is to embed hiding information in the stable to RST attacks regions defined …
View article: Adaptive visible image watermarking based on Hadamard transform
Adaptive visible image watermarking based on Hadamard transform Open
One of the ways for implicit protection of rightful copyright information deals with application of visible watermark embedded in the host image. In this paper, we study behaviour of the proposed function, which makes the embedding of visi…
View article: Salient region detection in the task of visual question answering
Salient region detection in the task of visual question answering Open
Salient region detection in Visual Question Answering (VQA) is an attempt to simulate a human ability to quickly perceive a scene by selectively looking on image fragments instead of processing a whole scene. The conventional approach deal…