Memory-based Multi-Source Meta-Learning (M3L)
A framework to train a generalizable model for unseen domains.
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A framework to train a generalizable model for unseen domains.
In Deep Micro-Dictionary Learning and Coding Networks fundamental convolutional layers are replaced by novel compound dictionary learning and coding layers.
A new loss function for self-supervised representation learning, which is based on the whitening of the latent space features.
The Force Behind Entity Resolution. Perform State Of The Art Entity Resolution With The Java Generic Data Integration Toolkit.
A collection of 250 images taken in a vineyard in Ribera de Duero, annotated using bounding boxes, to train and validate object detection models.
A computer vision model to automatically detect grape bunches in vineyard pictures.
An algorithm to rectify NDVI measurements from sentinel 2 images.
Deep learning based extraction of named entities from text documents.
A docker container including the GUI of the AI4AGRI pilot, providing access to all the different components developed in that pilot.