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SYSTEMS AND METHODS FOR IMAGE CLASSIFICATION USING VISUAL DICTIONARIES
SYSTEMS AND METHODS FOR IMAGE CLASSIFICATION USING VISUAL DICTIONARIES
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机译:使用视觉词典对图像进行分类的系统和方法
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摘要
Presented herein are systems and methods of clustering images using encoder-decoder models. A computing system may identify tiles derived from an image. Each tile may have a first dimension. The computing system may apply an image reconstruction model to the tiles. The image reconstruction model may include an encoder block having a first set of weights to generate embedding representations corresponding to the tiles. Each embedding representation may have a second dimension lower than the first dimension. The image reconstruction model may include a decoder block having a second set of weights to generate reconstructed tiles corresponding to the embedding representations. The computing system may apply a clustering model comprising a feature space to the embedding representations to classify each tile to one of a plurality of conditions.
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