Image Classification on ImageNet 1k (test) (Sensitivity Analysis) benchmark leaderboard · SOTA2 Research

Image Classification on ImageNet 1k (test) (Sensitivity Analysis)

15.9Top-1 Error RateSwinTransformer B V2

Evaluation Results

Method	Links
SwinTransformer B V22026.06		15.9	1.064	0.27	0.186	0.18
SwinTransformer B2026.06		16.4	1.065	0.28	0.186	0.183
ResNet152 V22026.06		17.7	1.052	0.267	0.2	0.2
SwinTransformer T V22026.06		17.9	1.087	0.327	0.25	0.248
ResNet101 V22026.06		18.1	1.06	0.285	0.216	0.216
SwinTransformer T2026.06		18.5	1.1	0.358	0.298	0.247
ResNet50 V22026.06		19.1	1.089	0.344	0.258	0.255
ResNet152 V12026.06		21.7	1.101	0.379	0.314	0.31
ResNet101 V12026.06		22.6	1.105	0.392	0.334	0.332
DenseNet1612026.06		22.9	1.105	0.386	0.318	0.317
DenseNet2012026.06		23.1	1.098	0.378	0.316	0.312
ResNet50 V12026.06		23.9	1.131	0.443	0.413	0.412
DenseNet1692026.06		24.4	1.124	0.427	0.368	0.367
DenseNet1212026.06		25.6	1.156	0.484	0.44	0.438
VGG19 BN2026.06		25.8	1.159	0.499	0.488	0.485
ResNet34 V12026.06		26.7	1.157	0.499	0.455	0.454
VGG192026.06		27.6	1.161	0.512	0.52	0.516
VGG13 BN2026.06		28.4	1.192	0.564	0.605	0.602
VGG132026.06		30.1	1.184	0.563	0.601	0.599
ResNet18 V12026.06		30.2	1.212	0.602	0.593	0.591