ResNet-18+MM+FRL

Reported on 3 benchmarks across 1 task · 1 paper

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

Computer Vision3 results

Image ClassificationonCIFAR-10
Percentage correct· 2020-11-22
95.33
best: 99.5 (ViT-H/14)
Learning Class Unique Features in Fine-Grained Visual Classification arXiv:2011.10951
Image ClassificationonCIFAR-100
Percentage correct· uses extra data· 2020-11-22
76.64
best: 96.08 (EffNet-L2 (SAM))
Learning Class Unique Features in Fine-Grained Visual Classification arXiv:2011.10951
Image ClassificationonSTL-10
Percentage correct· 2020-11-22
85.42
best: 99.64 (µ2Net+ (ViT-L/16))
Learning Class Unique Features in Fine-Grained Visual Classification arXiv:2011.10951