Residual pattern learning for pixel-wise out-of-distribution detection in semantic segmentation

• Main Authors: LIU, Y, DING, Choubo, TIAN, Yu, PANG, Guansong, BELAGIANNIS, Vasileios, REID, Ian, CARNEIRO, Gustavo
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2023
• Subjects: Semantic segmentation model; Out-of-distribution detection; Artificial Intelligence and Robotics
• Online Access: https://ink.library.smu.edu.sg/sis_research/8413; https://ink.library.smu.edu.sg/context/sis_research/article/9416/viewcontent/Liu_Residual_Pattern_Learning_for_Pixel_Wise_Out_of_Distribution_Detection_in_Semantic_Segmentation_ICCV_2023_paper.pdf
• Institution: Singapore Management University

Semantic segmentation models classify pixels into a set of known ("in-distribution") visual classes. When deployed in an open world, the reliability of these models depends on their ability to not only classify in-distribution pixels but also to detect out-of-distribution (OoD) pixels. His...