{"id":191,"date":"2023-07-12T07:45:04","date_gmt":"2023-07-12T07:45:04","guid":{"rendered":"https:\/\/34.239.202.173\/?p=191"},"modified":"2024-01-31T12:49:13","modified_gmt":"2024-01-31T12:49:13","slug":"a-magical-approach-of-hipie-transforming-image-segmentation-with-text","status":"publish","type":"post","link":"https:\/\/mlnews.dev\/a-magical-approach-of-hipie-transforming-image-segmentation-with-text\/","title":{"rendered":"A Magical Approach Of HIPIE: Transforming Image Segmentation With Text"},"content":{"rendered":"\n
HIPIE has revolutionized the way people interact with images. It has achieved clarity by breaking down images into several parts. This way the complexity of images is reduced without affecting pixels. HIPIE hierarchically performs image segmentation. This research was first introduced at the University of California Berkeley, and Panasonic AI research. This research was done by multiple researchers such as Xudong Frank Wang, Shufan Li Konstantinos Kallidromitis, Yusuke Kato<\/em>, Kazuki Kozuka, and Trevor Darrell<\/em>.<\/p>\n\n\n