67 citations · 120 across the 9 of their papers we have counts for
9 papers
Exemplar-free Continual Learning of Vision Transformers via Gated Class-Attention and Cascaded Feature Drift Compensation
Marco Cotogni, Fei Yang, Claudio Cusano +2
We propose a new method for exemplar-free class incremental training of ViTs. The main challenge of exemplar-free continual learning is maintaining plasticity of the learner withou…
Explaining Image Enhancement Black-Box Methods through a Path Planning Based Algorithm
Marco Cotogni, Claudio Cusano
Nowadays, image-to-image translation methods, are the state of the art for the enhancement of natural images. Even if they usually show high performance in terms of accuracy, they…
Offset equivariant networks and their applications
Marco Cotogni, Claudio Cusano
In this paper we present a framework for the design and implementation of offset equivariant networks, that is, neural networks that preserve in their output uniform increments in…
TreEnhance: A Tree Search Method For Low-Light Image Enhancement
Marco Cotogni, Claudio Cusano
In this paper we present TreEnhance, an automatic method for low-light image enhancement capable of improving the quality of digital images. The method combines tree search theory,…
Evaluating color texture descriptors under large variations of controlled lighting conditions
Claudio Cusano, Paolo Napoletano, Raimondo Schettini
The recognition of color texture under varying lighting conditions is still an open issue. Several features have been proposed for this purpose, ranging from traditional statistica…
Single and Multiple Illuminant Estimation Using Convolutional Neural Networks
Simone Bianco, Claudio Cusano, Raimondo Schettini
In this paper we present a method for the estimation of the color of the illuminant in RAW images. The method includes a Convolutional Neural Network that has been specially design…