NCT (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· 2020-09-17
71.73
best: 82.56 (LRA-diffusion (CLIP ViT))
Noisy Concurrent Training for Efficient Learning under Label Noise arXiv:2009.08325
Image Classificationonmini WebVision 1.0
ImageNet Top-5 Accuracy· 2020-09-17
91.61
best: 97.24 (RTE (Inception-ResNet-v2))
Noisy Concurrent Training for Efficient Learning under Label Noise arXiv:2009.08325
Image Classificationonmini WebVision 1.0
Top-1 Accuracy· 2020-09-17
75.16
best: 84.16 (LRA-diffusion (CLIP ViT))
Noisy Concurrent Training for Efficient Learning under Label Noise arXiv:2009.08325
Image Classificationonmini WebVision 1.0
Top-5 Accuracy· 2020-09-17
90.77
best: 94.84 (PSSCL (130 epochs))
Noisy Concurrent Training for Efficient Learning under Label Noise arXiv:2009.08325