2 papers
cs.CV2026
HAC: Parameter-Efficient Hyperbolic Adaptation of CLIP for Zero-Shot VQA
Francesco Dibitonto, Cigdem Beyan, Vittorio Murino
Recent advances in representation learning have shown that hyperbolic geometry can offer a more expressive alternative to the Euclidean embeddings used in CLIP models, capturing hi…
cs.CV2024
HOLMES: HOLonym-MEronym based Semantic inspection for Convolutional Image Classifiers
Francesco Dibitonto, Fabio Garcea, André Panisson +2
Convolutional Neural Networks (CNNs) are nowadays the model of choice in Computer Vision, thanks to their ability to automatize the feature extraction process in visual tasks. Howe…