A novel instrument to compare dynamic object detection algorithms.
Mario I. Chacon MurguiaAbimael Guzmán-PandoGraciela Ramírez AlonsoJuan A. Ramirez-QuintanaPublished in: Image Vis. Comput. (2019)
Keyphrases
- object detection
- recently developed
- orders of magnitude
- machine learning
- learning algorithm
- computational cost
- optimization problems
- times faster
- computationally expensive
- benchmark datasets
- database
- worst case
- computationally efficient
- theoretical analysis
- significant improvement
- computational complexity
- case study
- convergence rate
- graph theory