Image Classification 벤치마크
Image Classification on CIFAR-10
Percentage correct
- 2012-02-13 — MCDNN: Percentage correct 88.8
- 2012-06-13 — GP EI: Percentage correct 90.5
- 2013-02-18 — Maxout Network (k=2): Percentage correct 90.65
- 2013-12-16 — Network in Network: Percentage correct 91.2
- 2014-09-18 — DSN: Percentage correct 91.8
- 2014-09-22 — SSCNN: Percentage correct 93.7
- 2014-12-18 — Fractional MP: Percentage correct 96.5
- 2016-08-25 — DenseNet (DenseNet-BC-190): Percentage correct 96.54
- 2016-10-10 — Deep pyramidal residual network: Percentage correct 96.69
- 2017-01-07 — ORN: Percentage correct 97.02
- 2017-09-05 — SENet + ShakeShake + Cutout: Percentage correct 97.88
- 2018-11-16 — GPIPE + transfer learning: Percentage correct 99.0
- 2019-01-01 — LaNet: Percentage correct 99.03
- 2019-12-24 — BiT-L (ResNet): Percentage correct 99.37
- 2020-10-22 — ViT-H/14: Percentage correct 99.5