Computer Vision55 [2023-2] 박태호 - You Only Look Once: Unified, Real-Time Object Detection https://arxiv.org/abs/1506.02640 You Only Look Once: Unified, Real-Time Object Detection We present YOLO, a new approach to object detection. Prior work on object detection repurposes classifiers to perform detection. Instead, we frame object detection as a regression problem to spatially separated bounding boxes and associated class probabili arxiv.org Abstract - 객체 탐지 및 분류를 하나의 신경망으로 진행하는 YOLO.. 2023. 11. 28. [2023-2] 김경훈 - High-Resolution Image Synthesis with Latent Diffusion Models 원본 논문 링크 : https://arxiv.org/abs/2112.10752 High-Resolution Image Synthesis with Latent Diffusion Models By 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 t arxiv.org 0. Abstract 이미지 형성 과정을 순차적.. 2023. 11. 25. [2023-2] 백승우 - Show and Tell: A Neural Image Caption Generator Show and Tell: A Neural Image Caption Generator Automatically describing the content of an image is a fundamental problem in artificial intelligence that connects computer vision and natural language processing. In this paper, we present a generative model based on a deep recurrent architecture that com arxiv.org Abstract CV와 기계번역을 결합하여, 심층 반복 아키텍처에 기반한 생성 모델 훈련 이미지가 주어졌을 때 목표 설명 문장의 가능성을 최대화하도록.. 2023. 11. 5. 이전 1 ··· 11 12 13 14 다음
