Light Field (LF) cameras are promising due to their ability to capture both spatial and angular information of scenes. However, the trade-off between spatial and angular resolution significantly limits the real-world ...
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This paper reports on the NTIRE 2022 challenge on perceptual image quality assessment (IQA), held in conjunction with the New Trends in image Restoration and Enhancement workshop (NTIRE) workshop at CVPR 2022. This ch...
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ISBN:
(数字)9781665487399
ISBN:
(纸本)9781665487399
This paper reports on the NTIRE 2022 challenge on perceptual image quality assessment (IQA), held in conjunction with the New Trends in image Restoration and Enhancement workshop (NTIRE) workshop at CVPR 2022. This challenge is held to address the emerging challenge of IQA by perceptual imageprocessing.algorithms. The output images of these algorithms have completely different characteristics from traditional distortions and are included in the PIPAL dataset used in this challenge. This challenge is divided into two tracks, a full-reference IQA track similar to the previous NTIRE IQA challenge and a new track that focuses on the no-reference IQA methods. The challenge has 192 and 179 registered participants for two tracks. In the final testing stage, 7 and 8 participating teams submitted their models and fact sheets. Almost all of them have achieved better results than existing IQA methods, and the winning method can demonstrate state-of-the-art performance.
In this work, three algorithms (HOG with SVM, VGG, ResNet) are chosen to perform better imagerecognition on different categories of birds. HOG with SVM performs worse than ResNetwith SVM because HOG is better at reco...
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Driver's fatigue driving and mood are two important factors that cause traffic accidents, and with the widespread use of mobile devices, it is of significant research value to detect driver's abnormal driving ...
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Recently, some studies have shown that semantic and distortion representations both benefit the evaluation of image quality. However, the images of existing synthetic distortion databases are annotated with subjective...
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The recent years' progress in deep learning (DL) technology has resulted in convolutional neural networks (CNNs) capable of producing fast and accurate results, with minimal data preprocessing. Currently, gait ana...
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DDGI, GIBS, and other similar dynamic global illumination algorithms solve the irradiance integral by shortening and reusing the light path, obtaining the multi-bounce diffuse reflection effect without recursion. Howe...
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Multi-label zero-shot learning (ML-ZSL), with the difficulty of both multi-label learning and zero-shot learning, aims to recognize various unseen objects that are not observed during training. Previous methods mainly...
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Deep neural networks have been widely and successfully applied to many critical tasks, such as imagepatternrecognition, natural language processing.and autonomous driving, and large amounts of training data and incr...
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The need for robust machine learning models is particularly evident in the realm of biological patternrecognition. Traditional centralized methods often struggle, as they frequently depend on large datasets that are ...
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