분류 전체보기90 [2024-1] 양소정 - Generative Adversarial Networks https://arxiv.org/abs/1406.2661 Generative Adversarial Networks We propose a new framework for estimating generative models via an adversarial process, in which we simultaneously train two models: a generative model G that captures the data distribution, and a discriminative model D that estimates the probability that arxiv.org Abstract 적대적(adversarial) 프로세스를 통해 생성 모델을 추정하는 프레임워크 제안함 이 프레임워크는 'm.. 2024. 4. 10. [2024-1] 백승우 - You Only Watch Once: A Unified CNN Architecturefor Real-Time Spatiotemporal Action Localization You Only Watch Once: A Unified CNN Architecture for Real-Time Spatiotemporal Action Localization Spatiotemporal action localization requires the incorporation of two sources of information into the designed architecture: (1) temporal information from the previous frames and (2) spatial information from the key frame. Current state-of-the-art approache arxiv.org 0. Abstract Spatiotemporal action .. 2024. 4. 4. [2024-1] 김경훈 - MUNIT(Multi-Modal Unsupervised Image-to-Image translation) 원본 논문 링크 : https://arxiv.org/abs/1804.04732 Multimodal Unsupervised Image-to-Image Translation Unsupervised image-to-image translation is an important and challenging problem in computer vision. Given an image in the source domain, the goal is to learn the conditional distribution of corresponding images in the target domain, without seeing any pair arxiv.org 깃허브 https://github.com/NVlabs/MUNIT .. 2024. 3. 26. [2024-1] 김동한 - Nonparametric statistical tests for the continuous data: the basic concept and the practical use https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4754273/ Nonparametric statistical tests for the continuous data: the basic concept and the practical use Conventional statistical tests are usually called parametric tests. Parametric tests are used more frequently than nonparametric tests in many medical articles, because most of the medical researchers are familiar with and the statistical software.. 2024. 3. 25. 이전 1 ··· 8 9 10 11 12 13 14 ··· 23 다음
