33 citations · 72 across the 6 of their papers we have counts for
7 papers
Maximally Compact and Separated Features with Regular Polytope Networks
Federico Pernici, Matteo Bruni, Claudio Baecchi +1
Convolutional Neural Networks (CNNs) trained with the Softmax loss are widely used classification models for several vision tasks. Typically, a learnable transformation (i.e. the c…
Fashion Recommendation Based on Style and Social Events
Federico Becattini, Lavinia De Divitiis, Claudio Baecchi +1
Fashion recommendation is often declined as the task of finding complementary items given a query garment or retrieving outfits that are suitable for a given user. In this work we…
Regular Polytope Networks
Federico Pernici, Matteo Bruni, Claudio Baecchi +1
Neural networks are widely used as a model for classification in a large variety of tasks. Typically, a learnable transformation (i.e. the classifier) is placed at the end of such…
Garment Recommendation with Memory Augmented Neural Networks
Lavinia De Divitiis, Federico Becattini, Claudio Baecchi +1
Fashion plays a pivotal role in society. Combining garments appropriately is essential for people to communicate their personality and style. Also different events require outfits…
Class-incremental Learning with Pre-allocated Fixed Classifiers
Federico Pernici, Matteo Bruni, Claudio Baecchi +2
In class-incremental learning, a learning agent faces a stream of data with the goal of learning new classes while not forgetting previous ones. Neural networks are known to suffer…
Fix Your Features: Stationary and Maximally Discriminative Embeddings using Regular Polytope (Fixed Classifier) Networks
Federico Pernici, Matteo Bruni, Claudio Baecchi +1
Neural networks are widely used as a model for classification in a large variety of tasks. Typically, a learnable transformation (i.e. the classifier) is placed at the end of such…
Segmentation Free Object Discovery in Video
Giovanni Cuffaro, Federico Becattini, Claudio Baecchi +2
In this paper we present a simple yet effective approach to extend without supervision any object proposal from static images to videos. Unlike previous methods, these spatio-tempo…