Funding: Open Access funding provided by Universitá degli Studi di TrentoPeer reviewedPublisher PD
The image-to-image translation method aims to learn inter-domain mappings from paired/unpaired data....
A typical multi-source domain adaptation (MSDA) approach aims to transfer knowledge learned from a s...
Domain adaptation is a sub-field of transfer learning that aims at bridging the dissimilarity gap be...
Most domain adaptation methods consider the problem of transferring knowledge to the target domain f...
Unsupervised cross-domain image-to-image translation is a very active topic in computer vision and g...
Despite significant advances in image-to-image (I2I) translation with generative adversarial network...
Domain adaption (DA) and domain generalization (DG) are two closely related methods which are both c...
Image translation refers to the task of mapping images from a visual domain to another. Given two un...
Image translation, where the input image is mapped to its synthetic counterpart, is attractive in te...
Domain adaptation is one of the prominent strategies for handling both domain shift, that is widely ...
Existing research shows that there are many mature methods for image conversion in different fields....
The advent of generative adversarial networks has led to many state-of-the-art methodologies in the ...
International audienceImage-to-image translation architectures may have limited effectiveness in som...
State-of-the-art methods for image-to-image translation with Generative Adversarial Networks (GANs) ...
Doctor of PhilosophyDepartment of Computer ScienceWilliam H. HsuIn recent years deep learning has ac...
The image-to-image translation method aims to learn inter-domain mappings from paired/unpaired data....
A typical multi-source domain adaptation (MSDA) approach aims to transfer knowledge learned from a s...
Domain adaptation is a sub-field of transfer learning that aims at bridging the dissimilarity gap be...
Most domain adaptation methods consider the problem of transferring knowledge to the target domain f...
Unsupervised cross-domain image-to-image translation is a very active topic in computer vision and g...
Despite significant advances in image-to-image (I2I) translation with generative adversarial network...
Domain adaption (DA) and domain generalization (DG) are two closely related methods which are both c...
Image translation refers to the task of mapping images from a visual domain to another. Given two un...
Image translation, where the input image is mapped to its synthetic counterpart, is attractive in te...
Domain adaptation is one of the prominent strategies for handling both domain shift, that is widely ...
Existing research shows that there are many mature methods for image conversion in different fields....
The advent of generative adversarial networks has led to many state-of-the-art methodologies in the ...
International audienceImage-to-image translation architectures may have limited effectiveness in som...
State-of-the-art methods for image-to-image translation with Generative Adversarial Networks (GANs) ...
Doctor of PhilosophyDepartment of Computer ScienceWilliam H. HsuIn recent years deep learning has ac...
The image-to-image translation method aims to learn inter-domain mappings from paired/unpaired data....
A typical multi-source domain adaptation (MSDA) approach aims to transfer knowledge learned from a s...
Domain adaptation is a sub-field of transfer learning that aims at bridging the dissimilarity gap be...
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