Deep learning for small object detection
- Bosquet Mera, Brais
- Manuel Mucientes Molina Director
- Victor Manuel Brea Sánchez Director
Universidad de defensa: Universidade de Santiago de Compostela
Fecha de defensa: 18 de diciembre de 2020
- Francisco Herrera Triguero Presidente/a
- Senén Barro Secretario
- Andrea Prati Vocal
Tipo: Tesis
Resumen
Small object detection has become increasingly relevant due to the fact that the performance of common object detectors falls significantly as objects become smaller. Many computer vision applications require the analysis of the entire set of objects in the image, including extremely small objects. Moreover, the detection of small objects allows to perceive objects at a greater distance, thus giving more time to adapt to any situation or unforeseen event.