RT Dissertation/Thesis
T1 Deep learning for small object detection
A1 Bosquet Mera, Brais
K1 small object detection
K1 convolutional neural networks (CNNs)
K1 generative adversarial networks (GANs)
K1 deep learning
K1 spatio-temporal convolutional network
K1 data augmentation
K1 object linkin
AB Small object detection has become increasingly relevant due to the fact thatthe performance of common object detectors falls significantly as objects become smaller. Many computer visionapplications 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 toadapt to any situation or unforeseen event.
YR 2020
FD 2020
LK http://hdl.handle.net/10347/24470
UL http://hdl.handle.net/10347/24470
LA eng
DS Minerva
RD 28 abr 2026