Search Results for author: Lorenzo Brigato

Found 9 papers, 2 papers with code

Tune without Validation: Searching for Learning Rate and Weight Decay on Training Sets

no code implementations8 Mar 2024 Lorenzo Brigato, Stavroula Mougiakakou

We introduce Tune without Validation (Twin), a pipeline for tuning learning rate and weight decay without validation sets.

Image Classification

No Data Augmentation? Alternative Regularizations for Effective Training on Small Datasets

no code implementations4 Sep 2023 Lorenzo Brigato, Stavroula Mougiakakou

Solving image classification tasks given small training datasets remains an open challenge for modern computer vision.

Data Augmentation Image Classification

Food Recognition and Nutritional Apps

no code implementations20 Jun 2023 Lubnaa Abdur Rahman, Ioannis Papathanail, Lorenzo Brigato, Elias K. Spanakis, Stavroula Mougiakakou

Food recognition and nutritional apps are trending technologies that may revolutionise the way people with diabetes manage their diet.

Food Recognition Nutrition

Image Classification With Small Datasets: Overview and Benchmark

1 code implementation IEEE Access 2022 Lorenzo Brigato, Björn Barz, Luca Iocchi, Joachim Denzler

However, as research in this scope is still in its infancy, two key ingredients are missing for ensuring reliable and truthful progress: a systematic and extensive overview of the state of the art, and a common benchmark to allow for objective comparisons between published methods.

Classification Small Data Image Classification

On the Effectiveness of Neural Ensembles for Image Classification with Small Datasets

no code implementations29 Nov 2021 Lorenzo Brigato, Luca Iocchi

For the first time, our work broadly studies the existing concept of neural ensembling in domains with small data, through extensive validation using popular datasets and architectures.

Image Classification

A Strong Baseline for the VIPriors Data-Efficient Image Classification Challenge

no code implementations28 Sep 2021 Björn Barz, Lorenzo Brigato, Luca Iocchi, Joachim Denzler

Learning from limited amounts of data is the hallmark of intelligence, requiring strong generalization and abstraction skills.

Classification Image Classification

Tune It or Don't Use It: Benchmarking Data-Efficient Image Classification

1 code implementation30 Aug 2021 Lorenzo Brigato, Björn Barz, Luca Iocchi, Joachim Denzler

Data-efficient image classification using deep neural networks in settings, where only small amounts of labeled data are available, has been an active research area in the recent past.

Benchmarking Small Data Image Classification

On the Effectiveness of Deep Ensembles for Small Data Tasks

no code implementations1 Jan 2021 Lorenzo Brigato, Luca Iocchi

Deep neural networks represent the gold standard for image classification and many other tasks.

Image Classification

Cannot find the paper you are looking for? You can Submit a new open access paper.