2 papers
cs.CV2025
REGLUE Your Latents with Global and Local Semantics for Entangled Diffusion
Giorgos Petsangourakis, Christos Sgouropoulos, Bill Psomas +3
Latent diffusion models (LDMs) achieve state-of-the-art image synthesis, yet their reconstruction-style denoising objective provides only indirect semantic supervision: high-level…
cs.SD2025
Prototypical Contrastive Learning For Improved Few-Shot Audio Classification
Christos Sgouropoulos, Christos Nikou, Stefanos Vlachos +3
Few-shot learning has emerged as a powerful paradigm for training models with limited labeled data, addressing challenges in scenarios where large-scale annotation is impractical.…