ListarInstitute of New Imaging Technologies (INIT) por tema "image retrieval"
Mostrando ítems 1-3 de 3
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Noise-Tolerant Deep Neighborhood Embedding for Remotely Sensed Images With Label Noise
IEEE (2021-02-02)Recently, many deep learning-based methods have been developed for solving remote sensing (RS) scene classification or retrieval tasks. Most of the adopted loss functions for training these models require accurate annotations. ... -
Rotation-Invariant Deep Embedding for Remote Sensing Images
Institute of Electrical and Electronics Engineers (2021-06-28)Endowing convolutional neural networks (CNNs) with the rotation-invariant capability is important for characterizing the semantic contents of remote sensing (RS) images since they do not have typical orientations. Most of ...
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Unsupervised Remote Sensing Image Retrieval Using Probabilistic Latent Semantic Hashing
Institute of Electrical and Electronics Engineers (2020-02-06)Unsupervised hashing methods have attracted considerable attention in large-scale remote sensing (RS) image retrieval, due to their capability for massive data processing with significantly reduced storage and computation. ...
