129 datasets found

The dataset contains a collection of  multispectral images constituted of 14 VisNIR bands. Images were collected in-situ in brazillian citrus  commercial orchard, in the state...

Poster and presentation presented for my MPhil upgrade at the Department of Medical Physics and Biomedical Engineering, University College London, United Kingdom on 19th...

<p>Deep Generative models have shown impressive capabilities in several applications, e.g., image, video, and audio synthesis. Importantly, they can infer probability...

Data-driven approaches used to predict thermophysical properties benefit from physical constraints because the extrapolation behavior can be improved and the amount of training...

YOLOv5-WAL is a YOLOv5-based deep learning supervised approach to automate the detection of fluids emitted from the seafloor (e.g. methane bubbles from cold seeps and liquid...

Datensätze und Modelle zur Dissertation Kamerabasierte Topologieschätzung zur roboterbasierten Handhabung von verzweigten Leitungssätzen. In den Daten sind Rohdaten mit...

This dataset contains code and data for the third arXiv version of our paper "A Framework and Benchmark for Deep Batch Active Learning for Regression". The code can be used to...

We propose Unified Model of Saliency and Scanpaths (UMSS) - a model that learns to predict multi-duration saliency and scanpaths (i.e. sequences of eye fixations) on information...

This dataset contains code and data for the second arXiv version of our paper "A Framework and Benchmark for Deep Batch Active Learning for Regression". The code can be used to...

Despite its importance for assessing the effectiveness of communicating information visually, fine-grained recallability of information visualisations has not been studied...

This dataset contains code and data for our paper "A Framework and Benchmark for Deep Batch Active Learning for Regression". The code can be used to reproduce the results, to...

MassiveFold data generated for CASP16, in collaboration with CAPRI . 395 predictions were generated for the target. - a description of the setup can be found in...

MassiveFold data generated for CASP16, in collaboration with CAPRI . 8040 predictions were generated for the target = 1005 x 8 sets of parameters. - a description of the setup...

MassiveFold data generated for CASP16, in collaboration with CAPRI . 8040 predictions were generated for the target = 1005 x 8 sets of parameters. - a description of the setup...

MassiveFold data generated for CASP16, in collaboration with CAPRI . 8040 predictions were generated for the target = 1005 x 8 sets of parameters. - a description of the setup...

MassiveFold data generated for CASP16, in collaboration with CAPRI . 8040 predictions were generated for the target = 1005 x 8 sets of parameters. - a description of the setup...

MassiveFold data generated for CASP16, in collaboration with CAPRI . 8040 predictions were generated for the target = 1005 x 8 sets of parameters. - a description of the setup...

MassiveFold data generated for CASP16, in collaboration with CAPRI . 8040 predictions were generated for the target = 1005 x 8 sets of parameters. - a description of the setup...

MassiveFold data generated for CASP16, in collaboration with CAPRI . 8040 predictions were generated for the target = 1005 x 8 sets of parameters. - a description of the setup...

MassiveFold data generated for CASP16, in collaboration with CAPRI . 2040 predictions were generated for the target = 255 x 8 sets of parameters. - a description of the setup...