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Buildings, 2023 The growing demand for sustainable and energy-efficient buildings has highlighted the need for reliable and accurate methods to detect fenestration deterioration and assess UV radiation transmission. Traditional detection techniques, such as spectrophotometers and radiometers, discussed in Part I, are often expensive and invasive, necessitating more ...
Damilola Adeniyi Onatayo +2 more
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SLRP: Improved heatmap generation via selective layer‐wise relevance propagation
Electronics Letters, 2021 Deep learning has been recently applied to various areas of artificial intelligence, where it has displayed excellent performance. However, many deep‐learning models are a black box, which makes it difficult to interpret the models and understand the ...
Yeon‐Jee Jung +2 more
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Tuning computer vision models with task rewards [PDF]
International Conference on Machine Learning, 2023 Misalignment between model predictions and intended usage can be detrimental for the deployment of computer vision models. The issue is exacerbated when the task involves complex structured outputs, as it becomes harder to design procedures which address
André Susano Pinto +4 more
semanticscholar +1 more source
CMOS image sensor for wide dynamic range feature extraction in machine vision
Electronics Letters, 2021 This letter presents a wide dynamic range (WDR) feature extraction (FE) readout scheme for machine vision applications using CMOS image sensors (CISs).
Hyeon‐June Kim
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Part‐MOT: A multi‐object tracking method with instance part‐based embedding
IET Image Processing, 2021 Part‐MOT, a one‐stage anchor‐free architecture which unifies the object identification representation and detection in one task for visual object tracking is presented.
Xiaohu Liu +4 more
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Weakly supervised salient object detection via double object proposals guidance
IET Image Processing, 2021 The weakly supervised methods for salient object detection are attractive, since they greatly release the burden of annotating time‐consuming pixel‐wise masks.
Zhiheng Zhou +4 more
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IET Image Processing, 2021 To help CVD (colour vision deficiency) observers distinguish among different colours in digital images, this study proposes a content‐dependent Daltonization algorithm based on lightness and chroma information.
Xuming Shen, Jianhua Feng, Xiandou Zhang
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Angular‐flexible network for light field image super‐resolution
Electronics Letters, 2021 Light field (LF) cameras capture scenes from multiple views and provide additional angular information for image super‐resolution (SR). Existing CNN‐based LF image SR methods commonly develop specific models for different angular resolutions.
Zhengyu Liang +4 more
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Computer Vision and Image Processing: A Paper Review
International Journal of Artificial Intelligence Research, 2018 Computer vision has been studied from many persective. It expands from raw data recording into techniques and ideas combining digital image processing, pattern recognition, machine learning and computer graphics.
Victor Wiley, Thomas Lucas
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An adaptive level set method based on joint estimation dealing with intensity inhomogeneity
IET Image Processing, 2021 Automatic object segmentation has been a challenging task due to intensity inhomogeneity. The traditional way is to eliminate the intensity inhomogeneity, which causes the object to lose useful intensity information. The authors propose an adaptive level
Jiang Zhu +4 more
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