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Whittle Networks datasets
Datasets for paper "Whittle Networks: A Deep Likelihood Model for Time Series." -
Germeval 2017 Embeddings
Word Embeddings to our paper and conll converted data of the shared task -
Whittle Networks datasets
Datasets for paper "Whittle Networks: A Deep Likelihood Model for Time Series" Paper at http://proceedings.mlr.press/v139/yu21c.html Code at... -
Date Estimation in the Wild Dataset
This dataset has no description
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3D µCT images of specimens of carbon fiber reinforced polyamide 6 plaque, fib...
This dataset includes 3D µCT images of nine different specimen of 10 mm \times 10 mm of a carbon fiber reinforced polyamide 6 plaque produced in the long fiber reinforced... -
Dataset for the Segmentation of Industrial Burner Flames
The published dataset contains images and masks related to the research article with the title "Segmentation of Industrial Burner Flames: A Comparative Study from Traditional... -
Domain-Shift-Dataset of Defects on Metallic Surfaces (MSD-Shift)
The dataset maps two different surfaces (domains) from mechanical engineering (Surfaces of Ball Screw Drives (BSD); Surface of Metallic Semi-finished Products (SEV)). The... -
Industrial Machine Tool Element Surface Defect Dataset
Using Machine Learning Techniques in general and Deep Learning techniques in specific needs a certain amount of data often not available in large quantities in some technical... -
Software for Bubble identification from images with machine learning methods
This package contains the software and the trained models described in the publication "Bubble identification from images with machine learning methods". Please refer... -
Software for Bubble identification from images with machine learning methods
This package contains the software and the trained models described in the publication "Bubble identification from images with machine learning methods". Please refer... -
Software for Bubble identification from images with machine learning methods
This package contains the software and the trained models described in the publication "Bubble identification from images with machine learning methods". Please refer... -
Software for Bubble identification from images with machine learning methods
This package contains the software and the trained models described in the publication "Bubble identification from images with machine learning methods". Please refer... -
AR-CP: Uncertainty-Aware Perception in Adverse Conditions with Conformal Pred...
Deep learning models play a crucial role in improving driver assistance systems and environmental perception. However, their tendency toward overconfident predictions poses... -
NeuroQuantify Dataset
The segmentation of cells and neurites in microscopy images of neuronal networks provides valuable quantitative information about neuron growth and neuronal differentiation,... -
Pretrained models for animal2vec and MeerKAT: A self-supervised transformer f...
Model weights for animal2vec Please find the accompanying code at our official repository: github.com/livingingroups/animal2vec Here you find the model weights for the... -
UAV-Assisted Municipal Solid Waste Monitoring for Informed Disposal Decisions...
MUNICIPAL SOLID WASTE DETECTION MODEL OF CONFERENCE PAPER (UAV-Assisted Municipal Solid Waste Monitoring for Informed Disposal Decisions) The population growth and urbanisation... -
Data publication: Exploiting Deep Learning Models for Iron Ore Particle Size ...
The data contains the analysis results of the research work. -
Supplementary Material for "Performance Review of Retraining and Transfer Lea...
This upload contains all raw data, trained tensorflow models, and python code used for training and validation of deep learning image segmentation as described in the... -
UAVPal
A drone survey was conducted in February 2023 at the city center of Bhopal City, Madhya Pradesh, India. The main objective of this survey is to better automate urban scene...
