Deep learning for small object detection

Autores: Brais Bosquet Mera
Directores de la Tesis: Manuel Mucientes Molina (dir. tes.) , Victor Manuel Brea Sánchez (dir. tes.)
Lectura: En la Universidade de Santiago de Compostela ( España ) en 2020
Idioma: inglés
Tribunal Calificador de la Tesis: Francisco Herrera Triguero (presid.) , Senén Barro (secret.) , Andrea Prati (voc.)
Enlaces
- Tesis en acceso abierto en: MINERVA
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.