분류 전체보기377 [2026-1] 이루가 - High-Resolution Image Synthesis with Latent Diffusion Models 논문 링크: https://arxiv.org/abs/2112.10752 High-Resolution Image Synthesis with Latent Diffusion ModelsBy decomposing the image formation process into a sequential application of denoising autoencoders, diffusion models (DMs) achieve state-of-the-art synthesis results on image data and beyond. Additionally, their formulation allows for a guiding mechanism tarxiv.org 확산모델(Diffusion)의 고성능은 유지하면서 계산비용.. 2026. 1. 31. [2025-2] 김효민 - U-Net: Convolutional Networks for Biomedical Image Segmentation 본 글에서는 U-Net의 구조를 상세히 다루고 있으며, U-Net++에 대해서도 간단히 다루고 있다.본 글은 U-Net 논문과 기타 기술블로그를 참고하여 작성한 글이다. 다음은 U-Net 논문의 링크이다. U-Net: Convolutional Networks for Biomedical Image SegmentationThere is large consent that successful training of deep networks requires many thousand annotated training samples. In this paper, we present a network and training strategy that relies on the strong use of data augmenta.. 2026. 1. 31. [2026-1] 박승원 - SEMI-SUPERVISED CLASSIFICATION WITH GRAPH CONVOLUTIONAL NETWORKS Paper Information- 논문링크: https://arxiv.org/pdf/1609.02907- 게재 컨퍼런스 : International Conference on Learning Representations(ICLR) 2017- 저자: *Thomas N. Kipf, Max Welling from University of Amsterdam그래프들어가기에 앞서 그래프가 생소한 분들을 위해 개념을 소개합니다.그래프란? 객체들의 집합이며, 객체의 일부는 서로 관련이 있음. 그래프는 정점(Vertices, Nodes)와 그 정점들을 잇는 간선(Edges)으로 구성됨. 객체 간 관계를 모델링할 때 그래프를 사용함."A graph is a structure consisting of a set of obje.. 2026. 1. 30. [2026-1] 백승우 - UICOMPASS: UI Map Guided Mobile Task Automation via Adaptive Action Generation UICOMPASS: UI Map Guided Mobile Task Automation via Adaptive Action GenerationYuanzhang Lin, Zhe Zhang, He Rui, Qingao Dong, Mingyi Zhou, Jing Zhang, Xiang Gao, Hailong Sun. Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing. 2025.aclanthology.org 2026. 1. 28. 이전 1 2 3 4 ··· 95 다음
