Critical insights into modern hyperspectral image applications through deep learning
Hyperspectral imaging has shown tremendous growth over the past three decades.
Hyperspectral imaging was evolved through remote sensing. Along, with the technological …
Hyperspectral imaging was evolved through remote sensing. Along, with the technological …
A deep learning model for classifying human facial expressions from infrared thermal images
The analysis of human facial expressions from the thermal images captured by the Infrared
Thermal Imaging (IRTI) cameras has recently gained importance compared to images …
Thermal Imaging (IRTI) cameras has recently gained importance compared to images …
A deep learning-based diagnostic tool for identifying various diseases via facial images
O Attallah - Digital Health, 2022 - journals.sagepub.com
With the current health crisis caused by the COVID-19 pandemic, patients have become
more anxious about infection, so they prefer not to have direct contact with doctors or …
more anxious about infection, so they prefer not to have direct contact with doctors or …
A transformer–CNN for deep image inpainting forensics
X Zhu, J Lu, H Ren, H Wang, B Sun - The Visual Computer, 2023 - Springer
As an advanced image editing technology, image inpainting leaves very weak traces in the
tampered image, causing serious security issues, particularly those based on deep learning …
tampered image, causing serious security issues, particularly those based on deep learning …
Automatic Face Recognition System Using Deep Convolutional Mixer Architecture and AdaBoost Classifier
In recent years, advances in deep learning (DL) techniques for video analysis have
developed to solve the problem of real-time processing. Automated face recognition in the …
developed to solve the problem of real-time processing. Automated face recognition in the …
MultiCut-MultiMix: a two-level data augmentation method for detecting small and densely distributed objects in large-size images
Detecting small and densely distributed (SDD) objects in large-size images is quite
challenging due to the facts that directly inputting such images to the detection network …
challenging due to the facts that directly inputting such images to the detection network …
Automatic image caption generation using deep learning
Image captioning is an interesting and challenging task with applications in diverse domains
such as image retrieval, organizing and locating images of users' interest, etc. It has huge …
such as image retrieval, organizing and locating images of users' interest, etc. It has huge …
Occluded thermal face recognition using BoCNN and radial derivative Gaussian feature descriptor
In this work, we propose a Radial derivative Gaussian feature (RDGF) descriptor, a novel
handcrafted feature descriptor for disguised thermal face recognition. The feature encoding …
handcrafted feature descriptor for disguised thermal face recognition. The feature encoding …
Sketch-to-photo face generation based on semantic consistency preserving and similar connected component refinement
Sketch-to-photo face generation has recently gained remarkable attention in computer
vision and signal processing communities, because the sketches that employ concise lines …
vision and signal processing communities, because the sketches that employ concise lines …
An efficient model for detecting real-time facemask based on different Classification Algorithms
N Singh, P Tripathi - Multimedia Tools and Applications, 2024 - Springer
Nowadays, there is such an outbreak of corona in the whole world that people are taking
many precautions to avoid it, but according to the Guidelines of WHO, wearing a mask and …
many precautions to avoid it, but according to the Guidelines of WHO, wearing a mask and …