Deep learning for small object detection
Deep learning for small object detection
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.
convolutional neural networks (CNNs), spatio-temporal convolutional network, small object detection, :Investigación::12 Matemáticas::1203 Ciencia de los ordenadores::120304 Inteligencia artificial [Materias], generative adversarial networks (GANs), deep learning, Materias::Investigación::12 Matemáticas::1203 Ciencia de los ordenadores::120304 Inteligencia artificial, data augmentation, object linkin
convolutional neural networks (CNNs), spatio-temporal convolutional network, small object detection, :Investigación::12 Matemáticas::1203 Ciencia de los ordenadores::120304 Inteligencia artificial [Materias], generative adversarial networks (GANs), deep learning, Materias::Investigación::12 Matemáticas::1203 Ciencia de los ordenadores::120304 Inteligencia artificial, data augmentation, object linkin
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