CMW-Net-SL+C2D

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· 2022-02-11
77.36
best: 82.56 (LRA-diffusion (CLIP ViT))
CMW-Net: Learning a Class-Aware Sample Weighting Mapping for Robust Deep Learning arXiv:2202.05613
Image Classificationonmini WebVision 1.0
ImageNet Top-5 Accuracy· 2022-02-11
93.48
best: 97.24 (RTE (Inception-ResNet-v2))
CMW-Net: Learning a Class-Aware Sample Weighting Mapping for Robust Deep Learning arXiv:2202.05613
Image Classificationonmini WebVision 1.0
Top-1 Accuracy· 2022-02-11
80.44
best: 84.16 (LRA-diffusion (CLIP ViT))
CMW-Net: Learning a Class-Aware Sample Weighting Mapping for Robust Deep Learning arXiv:2202.05613
Image Classificationonmini WebVision 1.0
Top-5 Accuracy· 2022-02-11
93.36
best: 94.84 (PSSCL (130 epochs))
CMW-Net: Learning a Class-Aware Sample Weighting Mapping for Robust Deep Learning arXiv:2202.05613