📝 Cross-Dataset-Robust Method for Blind Real-World Image Quality Assessment 🔭 "First, many individual BIQA models based on SwinT are trained on different real-world BIQA datasets respectively and jointly used to generate pseudo-labels which adopts the probability of relative quality of two random images instead of fixed quality score." [gal30b+] 🤖 #CV 🔗 https://arxiv.org/abs/2309.14868v1 #arxiv https://creative.ai/system/media_attachments/files/111/140/426/442/077/255/original/9fd0c396cd0e1d36.jpg https://creative.ai/system/media_attachments/files/111/140/426/518/706/748/original/bd2d869f8175698f.jpg https://creative.ai/system/media_attachments/files/111/140/426/595/368/721/original/990f2a9cf6ddddd4.jpg https://creative.ai/system/media_attachments/files/111/140/426/657/598/230/original/3f48915706377832.jpg