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Models/DCGAN

DCGAN

Reported on 6 benchmarks across 5 tasks · 2 papers · 4 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Computer Vision3 results

Conditional Image GenerationonCIFAR-10
Inception score· 2015-11-19
6.58
best: 10.51 (StyleGAN2 + DiffAugment + D2D-CE)
SOTA
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks arXiv:1511.06434
Image ClassificationonCIFAR-10
Percentage correct· uses extra data· 2015-11-19
82.8
best: 99.5 (ViT-H/14)
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks arXiv:1511.06434
Image ClassificationonSVHN
Percentage error· 2015-11-19
22.48
best: 1 (E2E-M3)
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks arXiv:1511.06434

Medical2 results

Medical Image GenerationonChest X-Ray Images (Pneumonia)
Frechet Inception Distance· 2020-09-02
1.289
SOTA
Evaluation of Deep Convolutional Generative Adversarial Networks for data augmentation of chest X-ray images arXiv:2009.01181
Image GenerationonCIFAR-10
Inception score· 2015-11-19
6.58
best: 10.51 (StyleGAN2 + DiffAugment + D2D-CE)
SOTA
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks arXiv:1511.06434

Audio1 result

10-shot image generationonChest X-Ray Images (Pneumonia)
Frechet Inception Distance· 2020-09-02
1.289
SOTA
Evaluation of Deep Convolutional Generative Adversarial Networks for data augmentation of chest X-ray images arXiv:2009.01181