no code implementations • 16 Jan 2024 • Silvia Zottin, Axel De Nardin, Emanuela Colombi, Claudio Piciarelli, Filippo Pavan, Gian Luca Foresti
Document Layout Analysis, which is the task of identifying different semantic regions inside of a document page, is a subject of great interest for both computer scientists and humanities scholars as it represents a fundamental step towards further analysis tasks for the former and a powerful tool to improve and facilitate the study of the documents for the latter.
no code implementations • 27 Oct 2022 • Axel De Nardin, Silvia Zottin, Matteo Paier, Gian Luca Foresti, Emanuela Colombi, Claudio Piciarelli
Layout analysis is a task of uttermost importance in ancient handwritten document analysis and represents a fundamental step toward the simplification of subsequent tasks such as optical character recognition and automatic transcription.
no code implementations • 27 Oct 2022 • Axel De Nardin, Pankaj Mishra, Gian Luca Foresti, Claudio Piciarelli
Image anomaly detection consists in detecting images or image portions that are visually different from the majority of the samples in a dataset.
no code implementations • 1 Jul 2021 • Claudio Piciarelli, Gian Luca Foresti
The paper first defines a proper learning model for a single drone, and then extends it to the case of multiple drones both with greedy and cooperative strategies.
1 code implementation • 20 Apr 2021 • Pankaj Mishra, Riccardo Verk, Daniele Fornasier, Claudio Piciarelli, Gian Luca Foresti
We present a transformer-based image anomaly detection and localization network.
Ranked #9 on Anomaly Detection on BTAD (using extra training data)
no code implementations • 12 Nov 2020 • Pankaj Mishra, Claudio Piciarelli, Gian Luca Foresti
Anomaly detection consists in identifying, within a dataset, those samples that significantly differ from the majority of the data, representing the normal class.
1 code implementation • 6 Sep 2019 • Claudio Piciarelli, Pankaj Mishra, Gian Luca Foresti
Image anomaly detection consists in finding images with anomalous, unusual patterns with respect to a set of normal data.
no code implementations • 5 Apr 2017 • Danilo Avola, Gian Luca Foresti, Niki Martinel, Daniele Pannone, Claudio Piciarelli
In recent years, the technological improvements of low-cost small-scale Unmanned Aerial Vehicles (UAVs) are promoting an ever-increasing use of them in different tasks.