Deep learning for small object detection

  1. Bosquet Mera, Brais
unter der Leitung von:
  1. Manuel Mucientes Molina Doktorvater
  2. Victor Manuel Brea Sánchez Doktorvater

Universität der Verteidigung: Universidade de Santiago de Compostela

Fecha de defensa: 18 von Dezember von 2020

Gericht:
  1. Francisco Herrera Triguero Präsident/in
  2. Senén Barro Sekretär
  3. Andrea Prati Vocal
Fachbereiche:
  1. Departamento de Electrónica e Computación

Art: Dissertation

Teseo: 642673 DIALNET lock_openMINERVA editor

Zusammenfassung

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.