{"image_url":"https://cdn-ak.f.st-hatena.com/images/fotolife/f/fltech/20240722/20240722114616.png","height":"190","author_name":"fltech","published":"2024-08-09 20:30:00","blog_title":"fltech - Technology Blog of Fujitsu Research","url":"https://blog-en.fltech.dev/entry/2024/08/09/yolood-cvpr-en","html":"<iframe src=\"https://hatenablog-parts.com/embed?url=https%3A%2F%2Fblog-en.fltech.dev%2Fentry%2F2024%2F08%2F09%2Fyolood-cvpr-en\" title=\"\u201dYolOOD: Utilizing Object Detection Concepts for Multi-Label Out-of-Distribution Detection\u201d presented at CVPR 2024 - fltech - Technology Blog of Fujitsu Research\" class=\"embed-card embed-blogcard\" scrolling=\"no\" frameborder=\"0\" style=\"display: block; width: 100%; height: 190px; max-width: 500px; margin: 10px 0px;\"></iframe>","description":"Hello, I am Satoru Koda at AI Laboratory. Fujitsu has been developing technologies for realizing the world where people can safely use AI. In June 2024, we presented our achievement at CVPR 2024, a flagship conference in the computer vision field.","blog_url":"https://blog-en.fltech.dev/","categories":[],"author_url":"https://blog.hatena.ne.jp/fltech/","type":"rich","provider_name":"Hatena Blog","version":"1.0","width":"100%","title":"\u201dYolOOD: Utilizing Object Detection Concepts for Multi-Label Out-of-Distribution Detection\u201d presented at CVPR 2024","provider_url":"https://hatena.blog"}