Residents with camera: Exploring tourism impacts through participant-generated images
Sign Up to like & getrecommendations! Published in 2021 at "Annals of Tourism Research"
DOI: 10.1016/j.annals.2020.103112
Abstract: There are calls for increasing the uptake of visual methods in tourism research. This paper makes a distinct contribution to visual methodology by focusing on images generated by local residents. We examine the opportunities and… read more here.
Keywords: residents camera; tourism impacts; participant generated; camera exploring ... See more keywords
Astronomers explore uses for AI-generated images
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DOI: 10.1038/542016a
Abstract: V olcanoes, monasteries, birds, thistles: the varied images in Jeff Clune's research paper could be his holiday snaps. In fact, the pictures are synthetic. They are generated by deep-learning neural networks: layers of computational units… read more here.
Keywords: explore uses; network; neural networks; astronomers explore ... See more keywords
A High-Quality Multicategory SAR Images Generation Method With Multiconstraint GAN for ATR
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2021.3065682
Abstract: The high-quality training data sets are often insufficient in synthetic aperture radar (SAR) automatic target recognition (ATR) applications. The generative adversarial network (GAN) provides a way for SAR data augmentation. It is necessary to ensure… read more here.
Keywords: quality; multiconstraint gan; quality multicategory; high quality ... See more keywords
Reinforcing Generated Images via Meta-learning for One-Shot Fine-Grained Visual Recognition
Sign Up to like & getrecommendations! Published in 2022 at "IEEE transactions on pattern analysis and machine intelligence"
DOI: 10.1109/tpami.2022.3167112
Abstract: One-shot fine-grained visual recognition often suffers from the problem of training data scarcity for new fine-grained classes. To alleviate this problem, off-the-shelf image generation techniques based on Generative Adversarial Networks (GANs) can potentially create additional… read more here.
Keywords: shot fine; generated images; one shot; fine grained ... See more keywords
Visual and Quantitative Evaluation of Amyloid Brain PET Image Synthesis with Generative Adversarial Network
Sign Up to like & getrecommendations! Published in 2020 at "Applied Sciences"
DOI: 10.3390/app10072628
Abstract: Conventional data augmentation (DA) techniques, which have been used to improve the performance of predictive models with a lack of balanced training data sets, entail an effort to define the proper repeating operation (e.g., rotation… read more here.
Keywords: generative adversarial; image; adversarial network; evaluation ... See more keywords