Crust (Inception-ResNet-v2)

Reported on 4 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 Vision4 results

Image Classificationonmini WebVision 1.0
ImageNet Top-1 Accuracy· 2020-11-15
67.36
best: 82.56 (LRA-diffusion (CLIP ViT))
Coresets for Robust Training of Neural Networks against Noisy Labels arXiv:2011.07451
Image Classificationonmini WebVision 1.0
ImageNet Top-5 Accuracy· 2020-11-15
87.84
best: 97.24 (RTE (Inception-ResNet-v2))
Coresets for Robust Training of Neural Networks against Noisy Labels arXiv:2011.07451
Image Classificationonmini WebVision 1.0
Top-1 Accuracy· 2020-11-15
72.4
best: 84.16 (LRA-diffusion (CLIP ViT))
Coresets for Robust Training of Neural Networks against Noisy Labels arXiv:2011.07451
Image Classificationonmini WebVision 1.0
Top-5 Accuracy· 2020-11-15
89.56
best: 94.84 (PSSCL (130 epochs))
Coresets for Robust Training of Neural Networks against Noisy Labels arXiv:2011.07451