sotabench: Build results for hussam789/TResNet (hussam.lawen)

mrT23 / TResNet » Build #76

Build Results

Dataset Image Classification on ImageNet

Image Classification on ImageNet

		TOP 1 ACCURACY				TOP 5 ACCURACY				SPEED
MODEL		CODE	PAPER	ε-REPR		CODE	PAPER	ε-REPR				PAPER
TResNet-L		81.4%	81.4%			95.6%	95.6%			496.3
TResNet-L-288 (Mean-Max)		82.0%	81.4%			96.1%	95.6%
TResNet-L-448		83.8%	83.8%			96.7%	--
TResNet-M		80.7%	80.7%			94.8%	94.8%			507.5
TResNet-M-288 (Mean-Max)		81.6%	80.7%			95.4%	94.8%
TResNet-M-448		83.2%	83.2%			96.2%	--
TResNet-XL		82.0%	82.0%			95.9%	95.9%			445.4
TResNet-XL-288 (Mean-Max)		82.8%	82.0%			96.3%	95.9%
TResNet-XL-448		84.3%	84.3%			96.9%	--