CoDiM: Learning with Noisy Labels via Contrastive Semi-Supervised Learning

Benchmark Model Rank Results
image-classification-on-mini-webvision-1-0CoDiM-Self (Inception-ResNet-v2)–Top-1 Accuracy: 80.12Top-5 Accuracy: 93.52…
image-classification-on-mini-webvision-1-0CoDiM-Sup (Inception-ResNet-v2)–Top-1 Accuracy: 80.88Top-5 Accuracy: 92.48…