3 papers
cs.CV2026
FLaRA: Predicting Future Latent Representations for Accident Anticipation
Lorenzo Caselli, Tomaso Trinci, Tommaso Bianconcini +4
Anticipating traffic accidents from dashcam videos is a critical challenge in intelligent transportation systems. Existing methods typically map visual context directly to a collis…
cs.LG2026
Preventing Latent Rehearsal Decay in Online Continual SSL with SOLAR
Giacomo Cignoni, Simone Magistri, Andrew D. Bagdanov +1
This paper explores Online Continual Self-Supervised Learning (OCSSL), a scenario in which models learn from continuous streams of unlabeled, non-stationary data, where methods typ…
cs.CV2026
Cross-Modal Prototype Alignment and Mixing for Training-Free Few-Shot Classification
Dipam Goswami, Simone Magistri, Gido M. van de Ven +4
Vision-language models (VLMs) like CLIP are trained with the objective of aligning text and image pairs. To improve CLIP-based few-shot image classification, recent works have obse…