{"id":2554,"date":"2023-09-03T09:17:16","date_gmt":"2023-09-03T09:17:16","guid":{"rendered":"https:\/\/mlnews.dev\/?p=2554"},"modified":"2023-12-03T14:46:48","modified_gmt":"2023-12-03T14:46:48","slug":"grecs-understand-complex-images","status":"publish","type":"post","link":"https:\/\/mlnews.dev\/grecs-understand-complex-images\/","title":{"rendered":"GREC’s Spectacular Leap: Empowering Machines to Understand Complex Images in 2023"},"content":{"rendered":"\n
An Exciting Breakthrough in Computer Vision! Shuting He<\/strong><\/em> and Henghui Ding<\/em><\/strong>, researchers from Nanyang Technological University<\/strong><\/em>, have made significant strides in advancing computer vision. GREC (Generalized Referring Expression Comprehension), has opened up new possibilities for machines to understand complex images by allowing them to comprehend expressions that refer to multiple objects or even no specific target in the image. This breakthrough extends the practical applications of computer vision, making it more versatile and adaptable to real-world scenarios.<\/p>\n\n\n\n