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Ross Wightman 2021-07-12 13:33:02 -07:00
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@ -23,6 +23,9 @@ I'm fortunate to be able to dedicate significant time and money of my own suppor
## What's New
### July 12, 2021
* Add XCiT models from [official facebook impl](https://github.com/facebookresearch/xcit). Contributed by [Alexander Soare](https://github.com/alexander-soare)
### July 5-9, 2021
* Add `efficientnetv2_rw_t` weights, a custom 'tiny' 13.6M param variant that is a bit better than (non NoisyStudent) B3 models. Both faster and better accuracy (at same or lower res)
* top-1 82.34 @ 288x288 and 82.54 @ 320x320
@ -211,6 +214,7 @@ All model architecture families include variants with pretrained weights. There
A full version of the list below with source links can be found in the [documentation](https://rwightman.github.io/pytorch-image-models/models/).
* Aggregating Nested Transformers - https://arxiv.org/abs/2105.12723
* Big Transfer ResNetV2 (BiT) - https://arxiv.org/abs/1912.11370
* Bottleneck Transformers - https://arxiv.org/abs/2101.11605
* CaiT (Class-Attention in Image Transformers) - https://arxiv.org/abs/2103.17239
@ -275,6 +279,7 @@ A full version of the list below with source links can be found in the [document
* Xception - https://arxiv.org/abs/1610.02357
* Xception (Modified Aligned, Gluon) - https://arxiv.org/abs/1802.02611
* Xception (Modified Aligned, TF) - https://arxiv.org/abs/1802.02611
* XCiT (Cross-Covariance Image Transformers) - https://arxiv.org/abs/2106.09681
## Features