Results 11 to 20 of about 2,545,812 (268)
Hypercomplex Image- to- Image Translation
2022 International Joint Conference on Neural Networks (IJCNN), 2022 Image-to-image translation (I2I) aims at transferring the content representation from an input domain to an output one, bouncing along different target domains. Recent I2I generative models, which gain outstanding results in this task, comprise a set of diverse deep networks each with tens of million parameters.
Eleonora Grassucci +3 more
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Image-to-Image MLP-mixer for Image Reconstruction
CoRR, 2022 Neural networks are highly effective tools for image reconstruction problems such as denoising and compressive sensing. To date, neural networks for image reconstruction are almost exclusively convolutional. The most popular architecture is the U-Net, a convolutional network with a multi-resolution architecture.
Youssef Mansour +2 more
openaire +2 more sources
Retinal Imaging and Image Analysis [PDF]
IEEE Reviews in Biomedical Engineering, 2010 Many important eye diseases as well as systemic diseases manifest themselves in the retina. While a number of other anatomical structures contribute to the process of vision, this review focuses on retinal imaging and image analysis. Following a brief overview of the most prevalent causes of blindness in the industrialized world that includes age ...
Abramoff, M.D. +2 more
openaire +4 more sources
Video Object Detection Guided by Object Blur Evaluation
IEEE Access, 2020 In recent years, the excellent image-based object detection algorithms are transferred to the video object detection directly. These frame-by-frame processing methods are suboptimal owing to the degenerate object appearance such as motion blur, defocus ...
Yujie Wu +4 more
doaj +1 more source
2D Image Relighting with Image-to-Image Translation
CoRR, 2020 12 pages, 52 Postscript figures, uses cvpr_eso.sty eso-pic.sty ruler ...
Paul Gafton, Erick Maraz
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A Two-Stage Attribute-Constraint Network for Video-Based Person Re-Identification
IEEE Access, 2019 Person re-identification has gradually become a popular research topic in many fields such as security, criminal investigation, and video analysis. This paper aims to learn a discriminative and robust spatial–temporal representation for video ...
Wanru Song +4 more
doaj +1 more source
Feature Encoder Guided Generative Adversarial Network for Face Photo-Sketch Synthesis
IEEE Access, 2019 Face photo-sketch synthesis often suffers from many problems, such as low clarity, facial distortion, contents loss, texture missing and color inconsistency in the synthesized images.
Jieying Zheng +4 more
doaj +1 more source
Extended Global–Local Representation Learning for Video Person Re-Identification
IEEE Access, 2019 Recently, person re-identification has become one of the research hotspots in the field of computer vision and has received extensive attention in the academic community.
Wanru Song +4 more
doaj +1 more source
IEEE Access, 2019 In this paper, a novel multilayer hidden conditional random fields (MHCRFs)-based cervical histopathology image classification (CHIC) model is proposed to classify well, moderate and poorly differentiation stages of cervical cancer using a weakly ...
Chen Li +7 more
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DoMars16k: A Diverse Dataset for Weakly Supervised Geomorphologic Analysis on Mars
Remote Sensing, 2020 Mapping planetary surfaces is an intricate task that forms the basis for many geologic, geomorphologic, and geographic studies of planetary bodies. In this work, we present a method to automate a specific type of planetary mapping, geomorphic mapping ...
Thorsten Wilhelm +6 more
doaj +1 more source