From e42503e1d09092b72b2db748f97d488aa6d3782e Mon Sep 17 00:00:00 2001 From: Ross Wightman Date: Sun, 12 Jan 2020 18:00:12 -0800 Subject: [PATCH] Update sotabench --- sotabench.py | 7 ++++++- 1 file changed, 6 insertions(+), 1 deletion(-) diff --git a/sotabench.py b/sotabench.py index 245fc874..1f819751 100644 --- a/sotabench.py +++ b/sotabench.py @@ -93,7 +93,10 @@ model_list = [ _entry('resnet26d', 'ResNet-26-D', '1812.01187', model_desc='Block cfg of ResNet-34 w/ Bottleneck, deep stem, and avg-pool in downsample layers.'), _entry('resnet34', 'ResNet-34', '1812.01187'), - _entry('resnet50', 'ResNet-50', '1812.01187'), + _entry('resnet50', 'ResNet-50', '1812.01187', model_desc='Trained with AugMix + JSD loss'), + _entry('resnet50', 'ResNet-50 (288x288 Mean-Max Pooling)', '1812.01187', + ttp=True, args=dict(img_size=288), + model_desc='Trained with AugMix + JSD loss'), _entry('resnext50_32x4d', 'ResNeXt-50 32x4d', '1812.01187'), _entry('resnext50d_32x4d', 'ResNeXt-50-D 32x4d', '1812.01187', model_desc="'D' variant (3x3 deep stem w/ avg-pool downscale). Trained with " @@ -107,6 +110,8 @@ model_list = [ model_desc='Block cfg of SE-ResNeXt-34 w/ Bottleneck, deep stem, and avg-pool in downsample layers.'), _entry('seresnext26t_32x4d', 'SE-ResNeXt-26-T 32x4d', '1812.01187', model_desc='Block cfg of SE-ResNeXt-34 w/ Bottleneck, deep tiered stem, and avg-pool in downsample layers.'), + _entry('seresnext26tn_32x4d', 'SE-ResNeXt-26-TN 32x4d', '1812.01187', + model_desc='Block cfg of SE-ResNeXt-34 w/ Bottleneck, deep tiered narrow stem, and avg-pool in downsample layers.'), _entry('spnasnet_100', 'Single-Path NAS', '1904.02877', model_desc='Trained in PyTorch with SGD, cosine LR decay'), _entry('tf_efficientnet_b0', 'EfficientNet-B0 (AutoAugment)', '1905.11946',