GJS (ResNet-50)

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· 2021-05-10
75.5
best: 82.56 (LRA-diffusion (CLIP ViT))
Generalized Jensen-Shannon Divergence Loss for Learning with Noisy Labels arXiv:2105.04522
Image Classificationonmini WebVision 1.0
ImageNet Top-5 Accuracy· 2021-05-10
91.27
best: 97.24 (RTE (Inception-ResNet-v2))
Generalized Jensen-Shannon Divergence Loss for Learning with Noisy Labels arXiv:2105.04522
Image Classificationonmini WebVision 1.0
Top-1 Accuracy· 2021-05-10
79.28
best: 84.16 (LRA-diffusion (CLIP ViT))
Generalized Jensen-Shannon Divergence Loss for Learning with Noisy Labels arXiv:2105.04522
Image Classificationonmini WebVision 1.0
Top-5 Accuracy· 2021-05-10
91.22
best: 94.84 (PSSCL (130 epochs))
Generalized Jensen-Shannon Divergence Loss for Learning with Noisy Labels arXiv:2105.04522