인공지능3 [2025-1] 주서영 - SRDiff : Single image super-resolution with diffusion probabilistic models SRDiff SRDiff: Single Image Super-Resolution with Diffusion Probabilistic ModelsSingle image super-resolution (SISR) aims to reconstruct high-resolution (HR) images from the given low-resolution (LR) ones, which is an ill-posed problem because one LR image corresponds to multiple HR images. Recently, learning-based SISR methods have garxiv.orgNeurocomputing 2021611회 인용※ 참고SR3 Image Super-Resolut.. 2025. 2. 1. [2025-1] 주서영 - Towards Robust Vision Transformer Towards Robust Vision Transformer Towards Robust Vision TransformerRecent advances on Vision Transformer (ViT) and its improved variants have shown that self-attention-based networks surpass traditional Convolutional Neural Networks (CNNs) in most vision tasks. However, existing ViTs focus on the standard accuracy and comarxiv.orgCVPR 20222025.01.18 기준 인용 횟수: 226회Introduction기존의 Vision Transform.. 2025. 1. 18. [2024-2] 김지원 - HybridRAG: Integrating Knowledge Graphs and Vector Retrieval Augmented Generation for Efficient Information Extraction 논문 링크 : HybridRAG: Integrating Knowledge Graphs and Vector Retrieval Augmented Generation for Efficient Information Extraction 논문 리뷰에 앞서 RAG에 대한 간략한 소개 RAG(Retrieval-Augmented Generation)은 Lewis et al.(2020) 논문에서부터(아래 링크 참고) 등장하였는데 이 논문에서는 LLM이 parametric memory(모델 학습 시 배우게 되는 지식) 뿐만 아니라 non-parametric memory(예를 들어 Wikipedia 등 외부 지식)을 활용하여 QA task에 높은 성능을 내도록 했다.대표적인 사례로 Perplexity가 존재하며 그 작동 .. 2024. 12. 31. 이전 1 다음
