2 papers
cs.CV2026
Learning Relative Representations for Fine-Grained Multimodal Alignment with Limited Data
Shiwon Kim, Yu Rang Park
Multimodal pre-training demonstrates strong generalization performance, but this paradigm is often impractical in domains where paired data are scarce. A promising alternative is p…
cs.AI2025
Does Prior Data Matter? Exploring Joint Training in the Context of Few-Shot Class-Incremental Learning
Shiwon Kim, Dongjun Hwang, Sungwon Woo +1
Class-incremental learning (CIL) aims to adapt to continuously emerging new classes while preserving knowledge of previously learned ones. Few-shot class-incremental learning (FSCI…