VGG-19bn

Reported on 5 benchmarks across 2 tasks · 1 paper · 2 SOTA

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

Computer Vision5 results

Image ClassificationonFruits-360
Accuracy (%)· uses extra data· 2020-07-07
99.9
best: 99.98 (ResNeXt-101)
SOTA
SpinalNet: Deep Neural Network with Gradual Input arXiv:2007.03347
Fine-Grained Image ClassificationonFruits-360
Accuracy (%)· uses extra data· 2020-07-07
99.9
best: 99.98 (ResNeXt-101)
SOTA
SpinalNet: Deep Neural Network with Gradual Input arXiv:2007.03347
Image ClassificationonSTL-10
Percentage correct· uses extra data· 2020-07-07
95.44
best: 99.64 (µ2Net+ (ViT-L/16))
SpinalNet: Deep Neural Network with Gradual Input arXiv:2007.03347
Image ClassificationonBird-225
Accuracy· uses extra data· 2020-07-07
98.67
best: 99.56 (WideResNet-101 (Spinal FC))
SpinalNet: Deep Neural Network with Gradual Input arXiv:2007.03347
Fine-Grained Image ClassificationonBird-225
Accuracy· uses extra data· 2020-07-07
98.67
best: 99.56 (WideResNet-101 (Spinal FC))
SpinalNet: Deep Neural Network with Gradual Input arXiv:2007.03347