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Panoptic Vision-Language Feature Fields - pre-trained checkpoints
(2024)This file contains the pre-trained model checkpoints used in the experiments on the Replica dataset for the publication "Panoptic Vision-Language Feature Fields". Cf. https://github.com/ethz-asl/pvlff.Model -
Detection of Pictorial Map Objects with Convolutional Neural Networks
(2023)keras/TensorFlow models and preprocessed data to classify maps and non-maps (Xception and InceptionResNetV2), to classify pictorial maps and non-pictorial maps (Xception and InceptionResNetV2) as well as to detect sailing ships on historic maps (Faster R-CNN and RetinaNet)Model -
Unsupervised Continual Semantic Adaptation Through Neural Rendering - pre-trained checkpoint
(2023)This is the pre-trained DeepLabv3 checkpoint used in the experiments for the publication "Unsupervised Continual Semantic Adaptation Through Neural Rendering". Cf. https://github.com/ethz-asl/ucsa_neural_rendering/tree/main#deeplabv3-pre-training.Model -
Ground motion and macroseismic intensity soil amplification maps for Switzerland based on site-condition indicators and incorporating local response as measured at seismic stations
(2023)This dataset constitutes the soil amplification model for Switzerland presented in the scientific paper “A site amplification model for Switzerland based on site-condition indicators and incorporating local response as measured at seismic stations”, by Paolo Bergamo, Donat Fäh, Francesco Panzera, Carlo Cauzzi, Franziska Glueer, Vincent Perron, Stefan Wiemer, published on “Bulletin of Earthquake Engineering”. The amplification model was ...Model -
3D P-wave Velocity of the Alpine Crust
(2023)This model repository contains 1D and 3D tomographic P-wave velocity (Vp) models of the Alpine crust. The three-dimensional (3D) model is provided in different formats and its resolution/reliability can be assessed by additional information provided in the repository (Resolution-Diagonal-Elements, Spread-function-values). Details on formats and resolution limits are provided in a README-file included in the repository. Additional information ...Model -
ACSICON ADN model data
(2022)The dataset contains the aggregated distribution network (ADN) models developed in the research project "ACSICON" and published in the paper [1]. The zip files contains data for different penetration levels for grid-forming converters (as defined in [1]), ranging from 5% to 100%. The csv-files, e.g., ABCD_5.csv, contain a 6x6 matrix describing the LTI model in block form [A,B; C, D]. The LTI model has 4 dynamic states (A has dimension ...Model