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Cognitive Training Effect and Imaging Evidence
2023Cognitive intervention is a specific form of non-pharmacological intervention used to combat cognitive dysfunction. In this chapter, behavioral and neuroimaging studies about cognitive interventions are introduced. Regarding intervention studies, the form of intervention and the effects of the interventions have been systematically sorted out.
Xiangwei, Dai +3 more
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Image Analytics for Train Crowd Estimation
2018 Digital Image Computing: Techniques and Applications (DICTA), 2018Overcrowding is a common problem faced by train commuters in many countries. While waiting for the train at the stations, commuters tend to cluster and queue at doors that are closest to escalators and elevators that lead towards the station entrances and exits. This scenario results in trains not being fully utilized in terms of their capacity.
Choon Giap Goh +3 more
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Crowdsearching Training Sets for Image Classification
2015The success of an object classifier depends strongly on its training set, but this fact seems to be generally neglected in the computer vision community, which focuses primarily on the construction of descriptive features and the design of fast and effective learning mechanisms.
Abdulhak, Sami Abduljalil +2 more
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No training blind image quality assessment
SPIE Proceedings, 2014State of the art blind image quality assessment (IQA) methods generally extract perceptual features from the training images, and send them into support vector machine (SVM) to learn the regression model, which could be used to further predict the quality scores of the testing images. However, these methods need complicated training and learning, and
Ying Chu, Xuanqin Mou, Zhen Ji
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Synthesizing Training Images for Semantic Segmentation
2018Semantic segmentation is one of the key problems in the computer vision area. Recently, Convolutional Neural Networks (CNNs) have yielded a significant performance for the semantic segmentation task. However, CNNs require a sufficient amount of annotated training images, which is challenging since massive human labour is needed.
Yunhui Zhang +3 more
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Delving Into the Training Dynamics for Image Classification
IEEE Transactions on Image ProcessingIn recent years, there has been an increase in exploring and applying the training dynamics (TD) of deep neural networks (DNNs). Current studies typically rely on quite limited TD quantities and apply their sequences to understand or aid training. This study investigates how to create more effective TD representations, and then apply them to improve ...
Mengyang Li 0001 +2 more
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Image Training and Coordination
The Proceedings of Mechanical Engineering Congress, Japan, 2021openaire +1 more source
Image Brightness Adjustment with Unpaired Training
2021Chaojian Liu, Hong Chen, Aidong Men
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210 Image training and Design training for Recruits
The Proceedings of Conference of Kansai Branch, 2005Susumu Kise +3 more
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