Image Classification On Malaria Dataset

Acc. (test)

PARAMS

Results

Performance results of various models on this benchmark

			Paper Title
kEffNet-B0 V2 16ch	97.61%	0.61M	An Enhanced Scheme for Reducing the Complexity of Pointwise Convolutions in CNNs for Image Classification Based on Interleaved Grouped Filters without Divisibility Constraints
µ2Net+ (ViT-L/16)	97.46%	-	A Continual Development Methodology for Large-scale Multitask Dynamic ML Systems
kEffNet-B0 V2 2ch	96.70%	0.3M	An Enhanced Scheme for Reducing the Complexity of Pointwise Convolutions in CNNs for Image Classification Based on Interleaved Grouped Filters without Divisibility Constraints

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