SequenceMatch: Revisiting the design of weak-strong augmentations for Semi-supervised learning
Open paper
Benchmark
Model
Rank
Results
semi-supervised-image-classification-on-imagenet-10-labeled-data
SequenceMatch (ResNet-50)
#23
Top 1 Accuracy: 75.2%
Top 5 Accuracy: 91.9
Rank counts only results with a code link.