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Multi-scale Progressive Feature Embedding for Accurate NIR-to-RGB Spectral Domain Translation
[article]
2023
arXiv
pre-print
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Besides, a multi-scale progressive feature embedding network is designed to improve learning capabilities. ...
To address these challenges, we propose to colorize NIR images via a multi-scale progressive feature embedding network (MPFNet), with the guidance of grayscale image colorization. ...
CONCLUSION In this work, we have proposed a multi-scale progressive feature embedding framework for NIR-to-RGB spectral domain translation. ...
arXiv:2312.16040v1
fatcat:6iwgne2rzvgxrpcerbvrvmtaia
Deep Learning for Face Anti-Spoofing: A Survey
[article]
2022
arXiv
pre-print
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the latest methods specially designed for domain generalization and open-set FAS; and 3) besides commercial RGB camera, we summarize the deep learning applications under multi-modal (e.g., depth and infrared ...
However, existing reviews in this field mainly focus on the handcrafted features, which are outdated and uninspiring for the progress of FAS community. ...
Depth, RGB-NIR composition Input& Feature-level two-stage cascade architecture to fuse depth features with multi-scale RGB-NIR composite features CMFL [175] 2021 DenseNet161 Cross modal focal loss Binary ...
arXiv:2106.14948v3
fatcat:jqlcgrte3faoxmn4pucnys4kbm
Colorizing Near Infrared Images Through a Cyclic Adversarial Approach of Unpaired Samples
2019
2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
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This paper presents a novel approach for colorizing near infrared (NIR) images. ...
The approach is based on image-to-image translation using a Cycle-Consistent adversarial network for learning the color channels on unpaired dataset. ...
of the Titan Xp GPU used for this research. ...
doi:10.1109/cvprw.2019.00128
dblp:conf/cvpr/MehriS19
fatcat:qlluwqcn7rcsnhhz4przbgiyfa
Pedestrian Detection in Low-Light Conditions: A Comprehensive Survey
[article]
2024
arXiv
pre-print
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In particular, accurate and instant detection of pedestrians in low-light conditions and reduced visibility is of utmost importance for autonomous vehicles to prevent accidents and save lives. ...
Accordingly, most of the current approaches in the field use deep learning-based image fusion methodologies (i.e., early, halfway, and late fusion) for accurate and reliable pedestrian detection. ...
[146] proposed to borrow knowledge from the large-scale RGB dataset without the need for paired multi-modal training examples and used CycleGAN to implement an unpaired image-to-image translation framework ...
arXiv:2401.07801v1
fatcat:7ev2rhksfbftxndz6jkrw5rawi
Effective Data Fusion with Generalized Vegetation Index: Evidence from Land Cover Segmentation in Agriculture
[article]
2020
arXiv
pre-print
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How can we effectively leverage the domain knowledge from remote sensing to better segment agriculture land cover from satellite images? ...
In this paper, we propose a novel, model-agnostic, data-fusion approach for vegetation-related computer vision tasks. ...
But we have yet to investigate how the multi-spectral image can be translated into the VI-related input in the context of agriculture segmentation. ...
arXiv:2005.03743v1
fatcat:wvdz3ye6qff2vcdipr6n2iddpq
An Overview on the Generation and Detection of Synthetic and Manipulated Satellite Images
[article]
2022
arXiv
pre-print
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Moreover, with the surge of Deep Neural Networks (DNNs) that can generate realistic synthetic imagery belonging to various domains, additional threats related to the diffusion of synthetically generated ...
While we focus mostly on forensic techniques explicitly tailored to the detection of AI-generated synthetic contents, we also review some methods designed for general splicing detection, which can in principle ...
(a) Image translation from barren to vegetation domain. (b) Image translation from vegetation to barren domain.
Fig. 5 . 5 Fig. 5.: Land-cover image translation examples taken from [59]. ...
arXiv:2209.08984v1
fatcat:hpv43tkzljfqflwnl6hwse547i
Advanced Machine Learning in Point Spectroscopy, RGB- and Hyperspectral-Imaging for Automatic Discriminations of Crops and Weeds: A Review
2020
Smart Cities
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The discussion describes the recent progress made in the development of automated technology for accurate plant identification as well as the challenges and future prospects. ...
The most important thing for an automatic system to remove weeds within crop rows is to utilize reliable sensing technology to achieve accurate differentiation of weeds and crops at specific locations ...
Although RGB data only provide spectral information using three broad bands, competitive results for accurate classification are achieved based on their other features such as biological morphology and ...
doi:10.3390/smartcities3030039
fatcat:mr7pzbyhjfad7lwy7z3lvgrxh4
2021 Index IEEE Transactions on Image Processing Vol. 30
2021
IEEE Transactions on Image Processing
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Departments and other items may also be covered if they have been judged to have archival value. The Author Index contains the primary entry for each item, listed under the first author's name. ...
Zhang, S., +, TIP 2021 4678-4690 Multi-Domain Image-to-Image Translation via a Unified Circular Framework. ...
., +, TIP 2021 4571-4586 Progressive Modality Cooperation for Multi-Modality Domain Adaptation. ...
doi:10.1109/tip.2022.3142569
fatcat:z26yhwuecbgrnb2czhwjlf73qu
Deep Learning in Medical Hyperspectral Images: A Review
2022
Sensors
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With the continuous progress of development, deep learning has made good progress in the analysis and recognition of images, which has also triggered some researchers to explore the area of combining deep ...
This paper introduces the principles and techniques of hyperspectral imaging systems, summarizes the common medical hyperspectral imaging systems, and summarizes the progress of some emerging spectral ...
For each model except U-Net, spatial analysis was performed at three levels: no-spatial analysis; single-scale analysis; and multi-scale analysis. ...
doi:10.3390/s22249790
pmid:36560157
pmcid:PMC9784550
fatcat:5wvzmfxuk5cm5ch3pwd75crhxq
Applications of hyperspectral imaging in the detection and diagnosis of solid tumors
2020
Translational Cancer Research
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In particular, the advantages of HSI applied to solid tumors are highlighted to show its potential for clinical use. ...
It becomes a promising tool for performing tumor diagnosis and detection from the label-free histopathological examination to real-time intraoperative assistance. ...
Procedures for sample preparation, pre-processing and establishing the image capture system parameters are not consistent, thus preventing the large-scale verification required in the medical domain. ...
doi:10.21037/tcr.2019.12.53
pmid:35117471
pmcid:PMC8798535
fatcat:2to5tff3tnde7jb4jqyccqj3yi
On Creating Benchmark Dataset for Aerial Image Interpretation: Reviews, Guidances and Million-AID
[article]
2021
arXiv
pre-print
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The past years have witnessed great progress on remote sensing (RS) image interpretation and its wide applications. ...
We do hope this paper will provide the RS community an overall perspective on constructing large-scale and practical image datasets for further research, especially data-driven ones. ...
Compared to optical images, multi-/hyper-spectral images can capture the essential characteristics of ground features as the rich spectral and spatial information are simultaneously involved. ...
arXiv:2006.12485v2
fatcat:g54goum7wzhcllh46vn6plr5ra
A Non-Invasive Photonics-Based Device for Monitoring of Diabetic Foot Ulcers: Architectural/Sensorial Components & Technical Specifications
2021
Inventions
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The device is to be validated at large scales at three European hospitals (Charité–University Hospital in Berlin, Germany; Attikon in Athens, Greece, and Victor Babes in Timisoara, Romania) for its efficiency ...
The device is enriched with embedding signal processing tools for noise removal and enhancing pixel accuracy using super resolution schemes. ...
The RGB sensor is able to detect an ulcer region only if the ulcer has been progressed to be visibly detectable by an RGB camera. ...
doi:10.3390/inventions6020027
fatcat:2vccpr6avbax5hklwolffgu6aa
On Creating Benchmark Dataset for Aerial Image Interpretation: Reviews, Guidances and Million-AID
2021
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Preserved Fulltext
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The past years have witnessed great progress on remote sensing (RS) image interpretation and its wide applications. ...
We do hope this paper will provide the RS community an overall perspective on constructing large-scale and practical image datasets for further research, especially datadriven ones. ...
Compared to optical images, multi-/hyper-spectral images can capture the essential characteristics of ground features as the rich spectral and spatial information are simultaneously involved. ...
doi:10.1109/jstars.2021.3070368
fatcat:or7fzkzdnzasldvjxs4l3fmzte
Table of Contents
2021
IEEE Signal Processing Letters
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Zhou Monocular Depth Estimation With Multi-Scale Feature Fusion . . . . . . . . . . . . . . . . . . . . . . . . . . ..X. Xu, Z. Chen, and F. ...
Ma Single Image Dehazing via Semi-Supervised Domain Translation and Architecture Search . . . . . . . . . . K. Zhang and Y. ...
doi:10.1109/lsp.2021.3134551
fatcat:ab4b4tb5rrcu5cq6aifdekrizq
Deep Learning for Iris Recognition: A Survey
[article]
2022
arXiv
pre-print
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Fourth, we review open-source resources and tools in deep learning techniques for iris recognition. ...
Third, we delve deep into deep learning techniques for forensic application, especially in post-mortem iris recognition. ...
ACKNOWLEDGMENTS We would like to thank Adam Czajka from the University of Notre Dame, USA for the contribution in the early version of this survey paper in Sections 1, 5 and 6. ...
arXiv:2210.05866v1
fatcat:7xhng57jhrdibi6vuvb2pqxdni
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