ListarInstitute of New Imaging Technologies (INIT) por tema "annotations"
Mostrando ítems 1-3 de 3
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Deep Learning-Based Building Footprint Extraction With Missing Annotations
Institute of Electrical and Electronics Engineers (2021-04-21)Most state-of-the-art deep learning-based methods for extraction of building footprints are aimed at designing proper convolutional neural network (CNN) architectures or loss functions able to effectively predict building ... -
PiCoCo: Pixelwise Contrast and Consistency Learning for Semisupervised Building Footprint Segmentation
IEEE (2021-10-11)Building footprint segmentation from high-resolution remote sensing (RS) images plays a vital role in urban planning, disaster response, and population density estimation. Convolutional neural networks (CNNs) have been ... -
Robust Normalized Softmax Loss for Deep Metric Learning-Based Characterization of Remote Sensing Images With Label Noise
Institute of Electrical and Electronics Engineers (2020-12-16)Most deep metric learning-based image characterization methods exploit supervised information to model the semantic relations among the remote sensing (RS) scenes. Nonetheless, the unprecedented availability of large-scale ...