From f614df7921e70933e8ea7012439c4980d60fc8ba Mon Sep 17 00:00:00 2001 From: Ross Wightman Date: Wed, 12 Aug 2020 18:04:08 -0700 Subject: [PATCH] Bump version to 0.2.1 and update README --- README.md | 8 ++++++++ docs/changes.md | 8 ++++++++ timm/version.py | 2 +- 3 files changed, 17 insertions(+), 1 deletion(-) diff --git a/README.md b/README.md index 25abad63..d3dfef32 100644 --- a/README.md +++ b/README.md @@ -2,6 +2,14 @@ ## What's New +### Aug 12, 2020 +* New/updated weights from training experiments + * EfficientNet-B3 - 82.1 top-1 (vs 81.6 for official with AA and 81.9 for AdvProp) + * RegNetY-3.2GF - 82.0 top-1 (78.9 from official ver) + * CSPResNet50 - 79.6 top-1 (76.6 from official ver) +* Add CutMix integrated w/ Mixup. See [pull request](https://github.com/rwightman/pytorch-image-models/pull/218) for some usage examples +* Some fixes for using pretrained weights with `in_chans` != 3 on several models. + ### Aug 5, 2020 Universal feature extraction, new models, new weights, new test sets. * All models support the `features_only=True` argument for `create_model` call to return a network that extracts feature maps from the deepest layer at each stride. diff --git a/docs/changes.md b/docs/changes.md index b041bd6a..d6ab69a4 100644 --- a/docs/changes.md +++ b/docs/changes.md @@ -1,5 +1,13 @@ # Recent Changes +### Aug 12, 2020 +* New/updated weights from training experiments + * EfficientNet-B3 - 82.1 top-1 (vs 81.6 for official with AA and 81.9 for AdvProp) + * RegNetY-3.2GF - 82.0 top-1 (78.9 from official ver) + * CSPResNet50 - 79.6 top-1 (76.6 from official ver) +* Add CutMix integrated w/ Mixup. See [pull request](https://github.com/rwightman/pytorch-image-models/pull/218) for some usage examples +* Some fixes for using pretrained weights with `in_chans` != 3 on several models. + ### Aug 5, 2020 Universal feature extraction, new models, new weights, new test sets. diff --git a/timm/version.py b/timm/version.py index 7fd229a3..fc79d63d 100644 --- a/timm/version.py +++ b/timm/version.py @@ -1 +1 @@ -__version__ = '0.2.0' +__version__ = '0.2.1'