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METHOD FOR EXPLAINABLE ACTIVE LEARNING, TO BE USED FOR OBJECT DETECTOR, BY USING BAYESIAN DUAL AUTOENCODER AND ACTIVE LEARNING DEVICE USING THE SAME
METHOD FOR EXPLAINABLE ACTIVE LEARNING, TO BE USED FOR OBJECT DETECTOR, BY USING BAYESIAN DUAL AUTOENCODER AND ACTIVE LEARNING DEVICE USING THE SAME
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机译:用于说明主动学习的方法,用于用于对象检测器,通过使用相同的贝叶斯双自动化器和主动学习设备
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摘要
Processes of explainable active learning, for an object detector, by using a Bayesian dual encoder is provided. The processes include: (a) inputting test images into the object detector to generate cropped images, resizing the test images and the cropped images, and inputting the resized images into a data encoder to output data codes; (b) (b1) one of (i) inputting the test images into the object detector, applying Bayesian output embedding and resizing the activation entropy maps and the cropped activation entropy maps, and (ii) inputting resized object images and applying the Bayesian output embedding and (b2) inputting the resized activation entropy maps into a model encoder to output model codes; and (c) (i) confirming reference data codes, selecting specific test images as rare samples, and updating the data codebook, and (ii) confirming reference model codes and selecting specific test images as hard samples.
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