Results 11 to 20 of about 2,449,137 (268)

Inferring causal relations from observational long-term carbon and water fluxes records

open access: yesScientific Reports, 2022
Land, atmosphere and climate interact constantly and at different spatial and temporal scales. In this paper we rely on causal discovery methods to infer spatial patterns of causal relations between several key variables of the carbon and water cycles ...
Emiliano Díaz   +4 more
doaj   +1 more source

Video Object Detection Guided by Object Blur Evaluation

open access: yesIEEE 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

A Two-Stage Attribute-Constraint Network for Video-Based Person Re-Identification

open access: yesIEEE 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

open access: yesIEEE 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

open access: yesIEEE 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

Retinal Imaging and Image Analysis [PDF]

open access: yesIEEE 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   +3 more sources

Cervical Histopathology Image Classification Using Multilayer Hidden Conditional Random Fields and Weakly Supervised Learning

open access: yesIEEE 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
doaj   +1 more source

DoMars16k: A Diverse Dataset for Weakly Supervised Geomorphologic Analysis on Mars

open access: yesRemote 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

Comparative Study for Patch-Level and Pixel-Level Segmentation of Deep Learning Methods on Transparent Images of Environmental Microorganisms: From Convolutional Neural Networks to Visual Transformers

open access: yesApplied Sciences, 2022
Currently, the field of transparent image analysis has gradually become a hot topic. However, traditional analysis methods are accompanied by large amounts of carbon emissions, and consumes significant manpower and material resources.
Hechen Yang   +9 more
doaj   +1 more source

Hiding Images within Images [PDF]

open access: yesIEEE Transactions on Pattern Analysis and Machine Intelligence, 2020
We present a system to hide a full color image inside another of the same size with minimal quality loss to either image. Deep neural networks are simultaneously trained to create the hiding and revealing processes and are designed to specifically work as a pair.
openaire   +2 more sources

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