From 947e1df3ef495b47f1e537bbaca91e1cc1850275 Mon Sep 17 00:00:00 2001 From: Ross Wightman Date: Sun, 21 Nov 2021 21:27:08 -0800 Subject: [PATCH] Update README.md --- README.md | 16 ++++++++++++++++ 1 file changed, 16 insertions(+) diff --git a/README.md b/README.md index 13b0d587..e398ac1b 100644 --- a/README.md +++ b/README.md @@ -23,6 +23,22 @@ I'm fortunate to be able to dedicate significant time and money of my own suppor ## What's New +### Nov 19, 2021 +* A number of updated weights anew new model defs + * `eca_halonext26ts` - 79.5 @ 256 + * `resnet50_gn` (new) - 80.1 @ 224, 81.3 @ 288 + * `resnext50_32x4d` - 81.1 @ 224, 82.0 @ 288 + * `sebotnet33ts_256` (new) - 81.2 @ 224 + * `lamhalobotnet50ts_256` - 81.5 @ 256 + * `halonet50ts` - 81.7 @ 256 + * `halo2botnet50ts_256` - 82.0 @ 256 + * `resnet101` - 82.0 @ 224, 82.8 @ 288 + * `resnetv2_101` (new) - 82.1 @ 224, 83.0 @ 288 + * `resnet152` - 82.8 @ 224, 83.5 @ 288 +* `vit_base_patch8_224` (85.8 top-1) & `in21k` variant weights added thanks [Martins Bruveris](https://github.com/martinsbruveris) +* Groundwork in for FX feature extraction thanks to [Alexander Soare](https://github.com/alexander-soare) + * models updated for tracing compatibility (almost full support with some distlled transformer exceptions) + ### Oct 19, 2021 * ResNet strikes back (https://arxiv.org/abs/2110.00476) weights added, plus any extra training components used. Model weights and some more details here (https://github.com/rwightman/pytorch-image-models/releases/tag/v0.1-rsb-weights) * BCE loss and Repeated Augmentation support for RSB paper