| Номер документа в системі: | 307718 |
| Автор: | Lukac M., Abdiyeva K., Kameyama M. |
| Назва документа: | Evaluation of component algorithms in an algorithm selection approach for semantic segmentation based on high-level information feedback= Оценивание компонентных алгоритмов для выбора алгоритма семантической ... [см. анотацию] |
| УДК | 004.93+004.421 |
| Мова документу | Англійська |
| Аннотація | Evaluation of component algorithms in an algorithm selection approach for semantic segmentation based on high-level information feedback= Оценивание компонентных алгоритмов для выбора алгоритма семантической сегментации на основе обратной связи с высоким уровнем информации
In this paper we discuss certain theoretical properties of the algorithm selection approach to the problem of semantic segmentation in computer vision. High quality algorithm selection is possible only if each algorithm's suitability is well known because only then the algorithm selection result can improve the best possible result given by a single algorithm. We show that an algorithm's evaluation score depends on final task; i.e. to properly evaluate an algorithm and to determine its suitability, only well formulated tasks must be used. When algorithm suitability is well known, the algorithm can be efficiently used for a task by applying it in the most favorable environmental conditions determined during the evaluation. The tas |
| Кількість сторінок | P. 92-100. |