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Found 3 papers, 3 papers with code
MITS-GAN: Safeguarding Medical Imaging from Tampering with Generative Adversarial Networks
The progress in generative models, particularly Generative Adversarial Networks (GANs), opened new possibilities for image generation but raised concerns about potential malicious uses, especially in sensitive areas like medical imaging.
A Multi Camera Unsupervised Domain Adaptation Pipeline for Object Detection in Cultural Sites through Adversarial Learning and Self-Training
Object detection algorithms allow to enable many interesting applications which can be implemented in different devices, such as smartphones and wearable devices.
An Unsupervised Domain Adaptation Scheme for Single-Stage Artwork Recognition in Cultural Sites
To address this problem, we created a new dataset containing both synthetic and real images of 16 different artworks.
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Unsupervised Domain Adaptation
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