Learning With Noisy Labels On Food 101

Accuracy (% )

Results

Performance results of various models on this benchmark

		Paper Title
LongReMix	86.42	LongReMix: Robust Learning with High Confidence Samples in a Noisy Label Environment
PSSCL	86.41	PSSCL: A progressive sample selection framework with contrastive loss designed for noisy labels
SNSCL	86.40	Fine-Grained Classification with Noisy Labels

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