List your company
ResearchFormerly WizWand

Image Classification on ImageNet V2 1.0 (val)

76.7Top-1 AccuracyViT-L↑384 (DeiT III)
62.6666.30569.9573.595Apr 14, 2022
Updated 8mo ago

Evaluation results

MethodLinks
ViT-L↑384 (DeiT III)nb params=304.8M, FLOPs=191.2G, Resolution=3842022.0476.7
EfficientNetV2-Lnb params=118.5M, FLOPs=53.0G2022.0476.3
ViT-H (DeiT III)nb params=632.1M, FLOPs=167.4G2022.0475.9
EfficientNetV2-Mnb params=54.1M, FLOPs=25.0G2022.0475.5
ConvNeXt-L-384nb params=197.8M, FLOPs=101.0G2022.0475.3
ViT-L (DeiT III)nb params=304.4M, FLOPs=61.6G, Resolution=2242022.0475.1
ViT-B↑384 (DeiT III)nb params=86.9M, FLOPs=55.5G, Resolution=3842022.0474.8
ConvNeXt-B-384nb params=88.6M, FLOPs=45.0G2022.0474.7
EfficientNetV2-Snb params=21.5M, FLOPs=8.5G2022.0474
ConvNeXt-L-224nb params=197.8M, FLOPs=34.4G2022.0474
PatchConvNet-B120-224nb params=188.6M, FLOPs=29.9G2022.0473.9
EfficientNet-B5nb params=30.0M, FLOPs=9.9G2022.0473.6
ViT-B (DeiT III)nb params=86.6M, FLOPs=17.5G, Resolution=2242022.0473.6
ConvNeXt-B-224nb params=88.6M, FLOPs=15.4G2022.0473.4
ViT-S↑384 (DeiT III)nb params=22.0M, FLOPs=15.5G, Resolution=3842022.0473.1
PatchConvNet-B60-224nb params=99.4M, FLOPs=15.8G2022.0472.6
RegNetY-16GFnb params=83.6M, FLOPs=16.0G2022.0472.4
EfficientNet-B4nb params=19.0M, FLOPs=4.2G2022.0472.3
Swin-S-224nb params=49.6M, FLOPs=8.7G2022.0471.8
RegNetY-8GFnb params=39.2M, FLOPs=8.0G2022.0471.1
PatchConvNet-S60-224nb params=25.2M, FLOPs=4.0G2022.0471
RegNetY-4GFnb params=20.6M, FLOPs=4.0G2022.0470.7
ResNet-152nb params=60.2M, FLOPs=11.6G2022.0470.6
ViT-S (DeiT III)nb params=22.0M, FLOPs=4.6G, Resolution=2242022.0470.5
ResNet-101nb params=44.5M, FLOPs=7.9G2022.0470.3
Swin-T-224nb params=28.3M, FLOPs=4.5G2022.0469.5
ResMLP-B24nb params=116.0M, FLOPs=23.0G2022.0469
ResNet-50nb params=25.6M, FLOPs=4.1G2022.0468.7
Mixer-B/16nb params=59.9M, FLOPs=12.6G2022.0463.2