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04/05/2023
Deep Perceptual Similarity is Adaptable to Ambiguous Contexts
The concept of image similarity is ambiguous, meaning that images that a...
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02/08/2023
A Systematic Performance Analysis of Deep Perceptual Loss Networks Breaks Transfer Learning Conventions
Deep perceptual loss is a type of loss function in computer vision that ...
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07/06/2022
Identifying and Mitigating Flaws of Deep Perceptual Similarity Metrics
Measuring the similarity of images is a fundamental problem to computer ...
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03/15/2022
Magnification Prior: A Self-Supervised Method for Learning Representations on Breast Cancer Histopathological Images
This work presents a novel self-supervised pre-training method to learn ...
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03/16/2020
Pretraining Image Encoders without Reconstruction via Feature Prediction Loss
This work investigates three different loss functions for autoencoder-ba...
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01/10/2020