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A Pitfall of Unsupervised Pre-Training

23 November 2017
Michele Alberti
Mathias Seuret
Rolf Ingold
Marcus Liwicki
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Papers citing "A Pitfall of Unsupervised Pre-Training"

5 / 5 papers shown
Title
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
29
10
0
08 Feb 2023
Generating Synthetic Handwritten Historical Documents With OCR
  Constrained GANs
Generating Synthetic Handwritten Historical Documents With OCR Constrained GANs
Lars Vogtlin
Manuel Drazyk
Vinaychandran Pondenkandath
Michele Alberti
Rolf Ingold
21
12
0
15 Mar 2021
Pretraining Image Encoders without Reconstruction via Feature Prediction
  Loss
Pretraining Image Encoders without Reconstruction via Feature Prediction Loss
G. Pihlgren
Fredrik Sandin
Marcus Liwicki
18
3
0
16 Mar 2020
Improving Image Autoencoder Embeddings with Perceptual Loss
Improving Image Autoencoder Embeddings with Perceptual Loss
G. Pihlgren
Fredrik Sandin
Marcus Liwicki
25
33
0
10 Jan 2020
Leveraging Random Label Memorization for Unsupervised Pre-Training
Leveraging Random Label Memorization for Unsupervised Pre-Training
Vinaychandran Pondenkandath
Michele Alberti
Sammer Puran
Rolf Ingold
Marcus Liwicki
NoLa
22
14
0
05 Nov 2018
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