MV-MR: multi-views and multi-representations for self-supervised learning and knowledge distillation

Benchmark Model Rank Results
knowledge-distillation-on-cifar-100MV-MR (T: CLIP/ViT-B-16 S: resnet50)#3Top-1 Accuracy (%): 78.6
self-supervised-image-classification-on-imagenetMV-MR#76Top 1 Accuracy: 74.5%Top 5 Accuracy: 92.1
self-supervised-learning-on-stl-10MV-MR#3Accuracy: 89.67
unsupervised-image-classification-on-cifar-20MV-MR#1Accuracy: 73.2
unsupervised-image-classification-on-stl-10MV-MR#2Accuracy: 89.67