Fuzzy Logic Visual Network (FLVN): A neuro-symbolic approach for visual features matching

1 code implementation • 29 Jul 2023 • Francesco Manigrasso, Lia Morra, Fabrizio Lamberti

The latter allow, for instance, to handle exceptions in class-level attributes, and to enforce similarity between images of the same class, preventing premature overfitting to seen classes and improving overall performance.

Tensor Networks Zero-Shot Learning

PROTOtypical Logic Tensor Networks (PROTO-LTN) for Zero Shot Learning

1 code implementation • 26 Jun 2022 • Simone Martone, Francesco Manigrasso, Lamberti Fabrizio, Lia Morra

We focus here on the subsumption or \texttt{isOfClass} predicate, which is fundamental to encode most semantic image interpretation tasks.

Generalized Zero-Shot Learning Representation Learning +1

Faster-LTN: a neuro-symbolic, end-to-end object detection architecture

2 code implementations • 5 Jul 2021 • Francesco Manigrasso, Filomeno Davide Miro, Lia Morra, Fabrizio Lamberti

The detection of semantic relationships between objects represented in an image is one of the fundamental challenges in image interpretation.

object-detection Object Detection +1

Slicing and dicing soccer: automatic detection of complex events from spatio-temporal data

2 code implementations • 8 Apr 2020 • Lia Morra, Francesco Manigrasso, Giuseppe Canto, Claudio Gianfrate, Enrico Guarino, Fabrizio Lamberti

This paper presents a comprehensive approach for de-tecting a wide range of complex events in soccer videos starting frompositional data.