Papers matching “training data generation” 12
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Semantic segmentation in construction environments—SegFormer checkpoint and synthetic training data2026 RWTH Publications (RWTH Aachen) dataset Computer Science Advanced Neural Network Applications Open access
Jorge Luis Jiménez Aparicio, Artem Bliznyuk, Böken David, Heinz-Jürgen Roßmann
0citations -
DREAMING - Diminished Reality for Emerging Applications in Medicine through Inpainting Dataset2024 Zenodo (CERN European Organization for Nuclear Research) dataset Computer Science Generative Adversarial Networks and Image Synthesis Open access
Christina Gsaxner, Timo van Meegdenburg, Gijs Luijten, Viet Duc Vu, Behrus Puladi, Jan Egger
1citations -
DREAMING - Diminished Reality for Emerging Applications in Medicine through Inpainting Dataset2024 Zenodo (CERN European Organization for Nuclear Research) dataset Computer Science Generative Adversarial Networks and Image Synthesis Open access
Christina Gsaxner, Timo van Meegdenburg, Gijs Luijten, Viet Duc Vu, Behrus Puladi, Jan Egger
0citations -
DREAMING - Diminished Reality for Emerging Applications in Medicine through Inpainting Dataset2024 Zenodo (CERN European Organization for Nuclear Research) dataset Computer Science Generative Adversarial Networks and Image Synthesis Open access
Christina Gsaxner, Timo van Meegdenburg, Gijs Luijten, Viet Duc Vu, Behrus Puladi, Jan Egger
0citations -
DREAMING - Diminished Reality for Emerging Applications in Medicine through Inpainting Dataset2024 Zenodo (CERN European Organization for Nuclear Research) dataset Computer Science Generative Adversarial Networks and Image Synthesis Open access
Christina Gsaxner, Timo van Meegdenburg, Gijs Luijten, Viet Duc Vu, Behrus Puladi, Jan Egger
0citations -
Reproducibility Archive for Explainable Machine Learning Integrating Quantum Mechanical Descriptors and Matched Molecular Pair Analysis for Scaffold-Generalizable Discovery of Soluble Epoxide Hydrolase Inhibitors.2026 Zenodo (CERN European Organization for Nuclear Research) dataset Computer Science Computational Drug Discovery Methods Open access
Dileep Kumar, Ajwin Joseph Martin, Maria Grishina, Mohd Shahbaaz
0citations -
Reproducibility Archive for Explainable Machine Learning Integrating Quantum Mechanical Descriptors and Matched Molecular Pair Analysis for Scaffold-Generalizable Discovery of Soluble Epoxide Hydrolase Inhibitors.2026 Zenodo (CERN European Organization for Nuclear Research) dataset Computer Science Computational Drug Discovery Methods Open access
Dileep Kumar, Ajwin Joseph Martin, Maria Grishina, Mohd Shahbaaz
0citations
12 results