MV-MR (T: CLIP/ViT-B-16 S: resnet50)

Reported on 1 benchmark across 1 task · 1 paper

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

Natural Language Processing1 result

Knowledge DistillationonCIFAR-100
Top-1 Accuracy (%)· 2023-03-21
78.6
best: 79.86 (SRD (T:resnet-32x4, S:shufflenet-v2))
MV-MR: multi-views and multi-representations for self-supervised learning and knowledge distillation arXiv:2303.12130