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.)
• Programa de doctorado: Programa de Doctorado en Investigación en Tecnologías de la Información por la Universidad de A Coruña y la Universidad de Santiago de Compostela
• Menciones:
  • Internacional
• Calificación: Sobresaliente Cum Laude
• 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.