Improved Disentanglement through Aggregated Convolutional Feature MapsDownload PDF

Anonymous

04 Sept 2019 (modified: 05 May 2023)NeurIPS 2019 Workshop DC S1 Blind SubmissionReaders: Everyone
Abstract: We present a simple image preprocessing method for training VAEs leading to improved disentanglement compared to directly using the images. In particular, we propose to use regionally aggregated feature maps extracted from CNNs pretrained on ImageNet. Our method achieves the first rank on 3 of 5 metrics on the challenge’s public leaderboard.
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