Showing cs.CVShow all
2 papers · 1 filter
cs.CV2025
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…
cs.CV2024
Label Anything: Multi-Class Few-Shot Semantic Segmentation with Visual Prompts
Pasquale De Marinis, Nicola Fanelli, Raffaele Scaringi +4
Few-shot semantic segmentation aims to segment objects from previously unseen classes using only a limited number of labeled examples. In this paper, we introduce Label Anything, a…