17 citations · 28 across the 8 of their papers we have counts for
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cs.CV2020★ 2 cited
Pretraining Image Encoders without Reconstruction via Feature Prediction Loss
Gustav Grund Pihlgren, Fredrik Sandin, Marcus Liwicki
This work investigates three methods for calculating loss for autoencoder-based pretraining of image encoders: The commonly used reconstruction loss, the more recently introduced d…
cs.CV2020
Improving Image Autoencoder Embeddings with Perceptual Loss
Gustav Grund Pihlgren, Fredrik Sandin, Marcus Liwicki
Autoencoders are commonly trained using element-wise loss. However, element-wise loss disregards high-level structures in the image which can lead to embeddings that disregard them…