Pix2Pix

Reported on 3 benchmarks across 1 task · 1 paper · 1 SOTA

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

Medical3 results

Medical Image SegmentationonCell17
Dice· 2016-11-21
0.6351
best: 0.7088 (Cell R-CNN)
SOTA
Image-to-Image Translation with Conditional Adversarial Networks arXiv:1611.07004
Medical Image SegmentationonCell17
F1-score· 2016-11-21
0.6208
best: 0.8216 (Cell R-CNN)
Image-to-Image Translation with Conditional Adversarial Networks arXiv:1611.07004
Medical Image SegmentationonCell17
Hausdorff· 2016-11-21
19.1441
best: 25.9102 (FnsNet)
Image-to-Image Translation with Conditional Adversarial Networks arXiv:1611.07004