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RenderGAN: Generating Realistic Labeled Data

RenderGAN: Generating Realistic Labeled Data

4 November 2016
Leon Sixt
Benjamin Wild
Tim Landgraf
    GAN
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Papers citing "RenderGAN: Generating Realistic Labeled Data"

4 / 4 papers shown
Title
A Label Propagation Strategy for CutMix in Multi-Label Remote Sensing Image Classification
A Label Propagation Strategy for CutMix in Multi-Label Remote Sensing Image Classification
Tom Burgert
Tim Siebert
Kai Norman Clasen
Begum Demir
Begüm Demir
18
1
0
22 May 2024
A Comprehensive Overview and Comparative Analysis on Deep Learning Models: CNN, RNN, LSTM, GRU
A Comprehensive Overview and Comparative Analysis on Deep Learning Models: CNN, RNN, LSTM, GRU
Farhad Shiri
Thinagaran Perumal
N. Mustapha
Raihani Mohamed
AILaw
SyDa
ELM
AI4TS
20
117
0
27 May 2023
Conditional Generative Adversarial Networks for Data Augmentation and
  Adaptation in Remotely Sensed Imagery
Conditional Generative Adversarial Networks for Data Augmentation and Adaptation in Remotely Sensed Imagery
J. Howe
Kyle Pula
Aaron A. Reite
GAN
21
13
0
10 Aug 2019
Cross-modal Hallucination for Few-shot Fine-grained Recognition
Cross-modal Hallucination for Few-shot Fine-grained Recognition
Frederik Pahde
P. Jähnichen
T. Klein
Moin Nabi
10
21
0
13 Jun 2018
1