[논문리뷰] VQ-Seg: Vector-Quantized Token Perturbation for Semi-Supervised Medical Image SegmentationLei Zhu이 arXiv에 게시한 'VQ-Seg: Vector-Quantized Token Perturbation for Semi-Supervised Medical Image Segmentation' 논문에 대한 자세한 리뷰입니다.#Review#Semi-supervised Learning#Medical Image Segmentation#Vector Quantization#Consistency Learning#Feature Perturbation#Foundation Models#Dropout Replacement2026년 1월 15일댓글 수 로딩 중
[논문리뷰] SPARSE Data, Rich Results: Few-Shot Semi-Supervised Learning via Class-Conditioned Image TranslationPaolo Soda이 arXiv에 게시한 'SPARSE Data, Rich Results: Few-Shot Semi-Supervised Learning via Class-Conditioned Image Translation' 논문에 대한 자세한 리뷰입니다.#Review#Semi-supervised Learning#Few-shot Learning#Medical Imaging#GAN-based Methods#Image-to-image Translation#Pseudo-labeling#Ensemble Learning2025년 8월 18일댓글 수 로딩 중