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Pretraining Image Encoders without Reconstruction via Feature Prediction
  Loss
v1v2 (latest)

Pretraining Image Encoders without Reconstruction via Feature Prediction Loss

International Conference on Pattern Recognition (ICPR), 2020
16 March 2020
G. Pihlgren
Fredrik Sandin
Marcus Liwicki
ArXiv (abs)PDFHTMLGithub (28★)

Papers citing "Pretraining Image Encoders without Reconstruction via Feature Prediction Loss"

3 / 3 papers shown
Self-supervised learning for classifying paranasal anomalies in the
  maxillary sinus
Self-supervised learning for classifying paranasal anomalies in the maxillary sinus
Debayan Bhattacharya
F. Behrendt
B. Becker
Lennart Maack
Dirk Beyersdorff
...
B. Cheng
D. Eggert
C. Betz
A. Hoffmann
Alexander Schlaefer
SSL
181
1
0
29 Apr 2024
A Systematic Performance Analysis of Deep Perceptual Loss Networks:
  Breaking Transfer Learning Conventions
A Systematic Performance Analysis of Deep Perceptual Loss Networks: Breaking Transfer Learning Conventions
G. Pihlgren
Konstantina Nikolaidou
Prakash Chandra Chhipa
Nosheen Abid
Rajkumar Saini
Fredrik Sandin
Marcus Liwicki
464
16
0
08 Feb 2023
Identifying and Mitigating Flaws of Deep Perceptual Similarity Metrics
Identifying and Mitigating Flaws of Deep Perceptual Similarity Metrics
Oskar Sjogren
G. Pihlgren
Fredrik Sandin
Marcus Liwicki
193
5
0
06 Jul 2022
1
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