45 citations · 60 across the 5 of their papers we have counts for
5 papers
Image Classification with Small Datasets: Overview and Benchmark
L. Brigato, B. Barz, L. Iocchi +1
Image classification with small datasets has been an active research area in the recent past. However, as research in this scope is still in its infancy, two key ingredients are mi…
On the Effectiveness of Neural Ensembles for Image Classification with Small Datasets
Lorenzo Brigato, Luca Iocchi
Deep neural networks represent the gold standard for image classification. However, they usually need large amounts of data to reach superior performance. In this work, we focus on…
A Strong Baseline for the VIPriors Data-Efficient Image Classification Challenge
Björn Barz, Lorenzo Brigato, Luca Iocchi +1
Learning from limited amounts of data is the hallmark of intelligence, requiring strong generalization and abstraction skills. In a machine learning context, data-efficient methods…
Tune It or Don't Use It: Benchmarking Data-Efficient Image Classification
Lorenzo Brigato, Björn Barz, Luca Iocchi +1
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 p…
A Close Look at Deep Learning with Small Data
L. Brigato, L. Iocchi
In this work, we perform a wide variety of experiments with different deep learning architectures on datasets of limited size. According to our study, we show that model complexity…