AIMH Lab

Artificial Intelligence for Media and Humanities

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visione visionePublic
An AI-powered interactive video retrieval system
JavaScript 65 13
neural-ode-features neural-ode-featuresPublic
Forked from fabiocarrara/neural-ode-features
Pytorch code to train image classifiers based on ODE Nets on MNIST and CIFAR-10, extract features and test robustness to adversarial examples
Python
deep-parking deep-parkingPublic
Forked from fabiocarrara/deep-parking
Code to reproduce 'Deep Learning for Decentralized Parking Lot Occupancy Detection' paper.
Python
learning-relationship-aware-visual-features learning-relationship-aware-visual-featuresPublic
Forked from mesnico/learning-relationship-aware-visual-features
Relational Content-Based Image Retrieval (R-CBIR) - Retrieving images with given relationships among objects
Python
hebbian-learning-cnn hebbian-learning-cnnPublic
Forked from GabrieleLagani/HebbianLearningThesis
Pytorch implementation of Hebbian learning algorithms to train deep convolutional neural networks.
Python 1
mocca-anomaly-detection mocca-anomaly-detectionPublic
Forked from fvmassoli/mocca-anomaly-detection
Code to reproduce 'MOCCA: Multi-Layer One-Class Classification for Anomaly Detection'
Python