Deep learning for small object detection

  1. Bosquet Mera, Brais
Dirigida por:
  1. Manuel Mucientes Molina Director/a
  2. Victor Manuel Brea Sánchez Director/a

Universidad de defensa: Universidade de Santiago de Compostela

Fecha de defensa: 18 de diciembre de 2020

Tribunal:
  1. Francisco Herrera Triguero Presidente
  2. Senén Barro Secretario/a
  3. Andrea Prati Vocal

Tipo: Tesis

Teseo: 642673 DIALNET lock_openMINERVA editor

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.