Dataset Groups Activity Stream CamVid The dataset used in the paper is a pre-trained ResNet-50 classifier, which is used for image synthesis, unpaired image-to-image translation, and feature similarity estimation. BibTex: @dataset{G_J_Brostow_and_J_Shotton_and_J_Fauqueur_and_R_Cipolla_2024, abstract = {The dataset used in the paper is a pre-trained ResNet-50 classifier, which is used for image synthesis, unpaired image-to-image translation, and feature similarity estimation.}, author = {G. J. Brostow and J. Shotton and J. Fauqueur and R. Cipolla}, doi = {10.57702/t0wqghr8}, institution = {No Organization}, keyword = {'CamVid', 'Deep Learning', 'Driving Scenes', 'Image Dataset', 'Image Segmentation', 'Imbalanced Datasets', 'Real Data', 'Road Scene', 'Road Scene Understanding', 'Semantic Segmentation', 'Street Scene', 'Urban Scenes', 'driving', 'driving scenes', 'image segmentation', 'road scene', 'semantic segmentation', 'urban scene understanding', 'urban scenes', 'video segmentation'}, month = {dec}, publisher = {TIB}, title = {CamVid}, url = {https://service.tib.eu/ldmservice/dataset/camvid}, year = {2024} }
