mirrors
/
pytorch-image-models
mirror of https://github.com/huggingface/pytorch-image-models.git
1
0
Fork 0
Code Issues Projects Releases Wiki Activity

Update README for new weights. Version 0.4.2

pull/413/head
Ross Wightman 2021-02-08 11:51:16 -08:00
parent 666de85cf1
commit e9d6fe293c
2 changed files with 9 additions and 1 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

8
README.md
View File

@ -2,6 +2,14 @@
## What's New ## What's New
### Feb 8, 2021
* Add several ResNet weights with ECA attention. 26t & 50t trained @ 256, test @ 320. 269d train @ 256, fine-tune @320, test @ 352.
* `ecaresnet26t` - 79.88 top-1 @ 320x320, 79.08 @ 256x256
* `ecaresnet50t` - 82.35 top-1 @ 320x320, 81.52 @ 256x256
* `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).
* Support model default_cfgs with separate train vs test resolution `test_input_size`
### Jan 30, 2012 ### Jan 30, 2012
* 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)

2
timm/version.py
View File

@ -1 +1 @@
__version__ = '0.4.1' __version__ = '0.4.2'