Structure-Measure: A New Way to Evaluate Foreground Maps

• Published in: International journal of computer vision Vol. 129; no. 9; pp. 2622 - 2638
• Main Authors: Cheng, Ming-Ming, Fan, Deng-Ping
• Format: Journal Article
• Language: English
• Published: New York Springer US 01.09.2021; Springer; Springer Nature B.V
• Subjects: Algorithms; Analysis; Artificial Intelligence; Computer Imaging; Computer Science; Evaluation; Gaging; Image Processing and Computer Vision; Image segmentation; Object recognition; Pattern Recognition; Pattern Recognition and Graphics; Salience; Similarity; Vision; Evaluation; Foreground maps; Structure measure; Salient object detection; S-measure

Foreground map evaluation is crucial for gauging the progress of object segmentation algorithms, in particular in the field of salient object detection where the purpose is to accurately detect and segment the most salient object in a scene. Several measures (e.g., area-under-the-curve, F1-measure,...