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This section reviews two kinds of image retrieval methods for natural images captured with ordinary lens, i.e., BoW-based image retrieval and CNN-based image ...
May 2, 2019 · This paper focuses on the aurora images captured with all-sky-imagers (ASI). By analyzing the imaging principle of ASI and characteristics of ...
This paper focuses on the aurora images captured with all-sky-imagers (ASI). By analyzing the imaging principle of ASI and characteristics of aurora,
This paper focuses on the aurora images captured with all-sky-imagers (ASI). By analyzing the imaging principle of ASI and characteristics of aurora, a salient ...
This paper focuses on the aurora images captured with all-sky-imagers (ASI). By analyzing the imaging principle of ASI and characteristics of aurora, a salient ...
Oct 12, 2023 · This paper introduces a Hash-Transformer model based on Vision Transformer for aurora retrieval from all-sky images.
The proposed polar embedding method improves the retrieval accuracy significantly with acceptable efficiency and memory cost and a binary polar deep local ...
Dec 16, 2021 · We develop an open source algorithm to apply Transfer learning to Aurora image classification and Magnetic disturbance Evaluation (TAME).
Aurora retrieval in all-sky images based on hash vision transformer ... Yang, BoSR: a CNN-based aurora image retrieval method, Neural Netw., № 116, с.