A Benchmark Dataset and Evaluation Methodology for Video Object Segmentation

• Published in: 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) pp. 724 - 732
• Main Authors: Perazzi, F., Pont-Tuset, J., McWilliams, B., Van Gool, L., Gross, M., Sorkine-Hornung, A.
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.06.2016
• Subjects: Algorithm design and analysis; Benchmark testing; Computer vision; Image segmentation; Manuals; Motion segmentation; Object segmentation
• ISSN: 1063-6919
• DOI: 10.1109/CVPR.2016.85

Over the years, datasets and benchmarks have proven their fundamental importance in computer vision research, enabling targeted progress and objective comparisons in many fields. At the same time, legacy datasets may impend the evolution of a field due to saturated algorithm performance and the lack...