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pull/418/head v0.1-ger-weights
Ross Wightman 4 years ago committed by GitHub
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@ -8,7 +8,7 @@
* `ecaresnet50t` - 82.35 top-1 @ 320x320, 81.52 @ 256x256 * `ecaresnet50t` - 82.35 top-1 @ 320x320, 81.52 @ 256x256
* `ecaresnet269d` - 84.93 top-1 @ 352x352, 84.87 @ 320x320 * `ecaresnet269d` - 84.93 top-1 @ 352x352, 84.87 @ 320x320
* Remove separate tiered (`t`) vs tiered_narrow (`tn`) ResNet model defs, all `tn` changed to `t` and `t` models removed (`seresnext26t_32x4d` only model w/ weights that was removed). * Remove separate tiered (`t`) vs tiered_narrow (`tn`) ResNet model defs, all `tn` changed to `t` and `t` models removed (`seresnext26t_32x4d` only model w/ weights that was removed).
* Support model default_cfgs with separate train vs test resolution `test_input_size` * Support model default_cfgs with separate train vs test resolution `test_input_size` and remove extra `_320` suffix ResNet model defs that were just for test.
### Jan 30, 2021 ### Jan 30, 2021
* Add initial "Normalization Free" NF-RegNet-B* and NF-ResNet model definitions based on [paper](https://arxiv.org/abs/2101.08692) * Add initial "Normalization Free" NF-RegNet-B* and NF-ResNet model definitions based on [paper](https://arxiv.org/abs/2101.08692)

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