122 citations · 383 across the 26 of their papers we have counts for
6 papers · 1 filter
DistillFSS: Synthesizing Few-Shot Knowledge into a Lightweight Segmentation Model
Pasquale De Marinis, Pieter M. Blok, Uzay Kaymak +3
Cross-Domain Few-Shot Semantic Segmentation (CD-FSS) seeks to segment unknown classes in unseen domains using only a few annotated examples. This setting is inherently challenging:…
Take a Peek: Efficient Encoder Adaptation for Few-Shot Semantic Segmentation via LoRA
Pasquale De Marinis, Gennaro Vessio, Giovanna Castellano
Few-shot semantic segmentation (FSS) aims to segment novel classes in query images using only a small annotated support set. While prior research has mainly focused on improving de…
Matching-Based Few-Shot Semantic Segmentation Models Are Interpretable by Design
Pasquale De Marinis, Uzay Kaymak, Rogier Brussee +2
Few-Shot Semantic Segmentation (FSS) models achieve strong performance in segmenting novel classes with minimal labeled examples, yet their decision-making processes remain largely…
LAYA: Layer-wise Attention Aggregation for Interpretable Depth-Aware Neural Networks
Gennaro Vessio
Deep neural networks typically rely on the representation produced by their final hidden layer to make predictions, implicitly assuming that this single vector fully captures the s…
Modeling and benchmarking quantum optical neurons for efficient neural computation
Andrea Andrisani, Gennaro Vessio, Fabrizio Sgobba +3
Quantum optical neurons (QONs) are emerging as promising computational units that leverage photonic interference to perform neural operations in an energy-efficient and physically…
ArtSeek: Deep artwork understanding via multimodal in-context reasoning and late interaction retrieval
Nicola Fanelli, Gennaro Vessio, Giovanna Castellano
Analyzing digitized artworks requires both visual interpretation and deep artistic, contextual, and historical knowledge. We introduce ArtSeek, a multimodal framework for art analy…