Results 21 to 30 of about 596,937 (313)
Tomographic image reconstruction using training images
25 pages, 12 ...
Sara Soltani +2 more
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Object detection is one of the most promising research topics currently, whose application in agriculture, however, can be challenged by the difficulty of annotating complex and crowded scenes. This study presents a brief performance assessment of YOLOv7,
Wenan Yuan
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The Effect of Sexual Assertiveness Training on women’s genital self-image: A Randomized Clinical Trial [PDF]
Background & aim: The genital self-image refers to women's attitudes, beliefs, and feelings about their genitalia and genital system that are involved in sexual intercourse.
Fatemeh Sayyadi +2 more
doaj +1 more source
Causal Interventional Training for Image Recognition
Deep learning models often fit undesired dataset bias in training. In this paper, we formulate the bias using causal inference, which helps us uncover the ever-elusive causalities among the key factors in training, and thus pursue the desired causal effect without the bias.
Wei Qin +4 more
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When using coarse-resolution remote sensing images, super-resolution reconstruction is widely desired, and can be realized by reproducing the intrinsic features from a set of coarse-resolution fraction data to fine-resolution remote sensing images that ...
Ting Zhang, Yi Du, Fangfang Lu
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Image Translation by Domain-Adversarial Training [PDF]
Image translation, where the input image is mapped to its synthetic counterpart, is attractive in terms of wide applications in fields of computer graphics and computer vision. Despite significant progress on this problem, largely due to a surge of interest in conditional generative adversarial networks (cGANs), most of the cGAN-based approaches ...
Zhuorong Li, Wanliang Wang, Yanwei Zhao
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Pre-trained Models for Sonar Images [PDF]
Global Oceans 2021, Camera ready, 8 pages, 9 ...
Valdenegro-Toro, Matias +2 more
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IMAGE-TO-IMAGE TRANSLATION FOR ENHANCED FEATURE MATCHING, IMAGE RETRIEVAL AND VISUAL LOCALIZATION [PDF]
The performance of machine learning and deep learning algorithms for image analysis depends significantly on the quantity and quality of the training data. The generation of annotated training data is often costly, time-consuming and laborious.
M. S. Mueller +4 more
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Comparing efficacy mindfulness training & self-care training on body image in women with breast cancer [PDF]
Background: Body image refers to how an individual sees their own body and how attractive they feel themselves. Studies have reported on the effect of mindfulness training to improvement body image, also, self-care by empowering effect on this behavior ...
Moghqan Alishiri +3 more
doaj
Training Cellular Automata for Image Processing [PDF]
Experiments were carried out to investigate the possibility of training cellular automata (CA) to perform several image processing tasks. Even if only binary images are considered, the space of all possible rule sets is still very large, and so the training process is the main bottleneck of such an approach.
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