Deep learning for small object detection

  1. Brais Bosquet Mera
Dirixida por:
  1. Manuel Mucientes Molina Director
  2. Victor Manuel Brea Sánchez Director

Universidade de defensa: Universidade de Santiago de Compostela

Ano de defensa: 2020

  1. Francisco Herrera Triguero Presidente/a
  2. Senén Barro Secretario
  3. Andrea Prati Vogal
  1. Departamento de Electrónica e Computación

Tipo: Tese


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.