# Release Notes

- 2021.05.14
   - Add `SwinTransformer` series pretrained models, whose Top-1 Acc on ImageNet-1k dataset reaches 87.19%.

- 2021.04.15
   - Add `MixNet` and `ReXNet` pretrained models, `MixNet_L`'s Top-1 Acc on ImageNet-1k reaches 78.6% and `ReXNet_3_0` reaches 82.09%.
- 2021.01.27
   * Add ViT and DeiT pretrained models, ViT's Top-1 Acc on ImageNet reaches 81.05%, and DeiT reaches 85.5%.
- 2021.01.08
    * Add support for whl package and its usage, Model inference can be done by simply install paddleclas using pip.
- 2020.12.16
    * Add support for TensorRT when using cpp inference to obain more obvious acceleration.
- 2020.12.06
    * Add `SE_HRNet_W64_C_ssld` pretrained model, whose Top-1 Acc on ImageNet1k dataset reaches 84.75%.
- 2020.11.23
    * Add `GhostNet_x1_3_ssld` pretrained model, whose Top-1 Acc on ImageNet1k dataset reaches 79.38%.
- 2020.11.09
    * Add `InceptionV3` architecture and pretrained model, whose Top-1 Acc on ImageNet1k dataset reaches 79.1%.

* 2020.10.20
    * Add `Res2Net50_vd_26w_4s_ssld` pretrained model, whose Top-1 Acc on ImageNet1k dataset reaches 83.1%.
    * Add `Res2Net101_vd_26w_4s_ssld` pretrained model, whose Top-1 Acc on ImageNet1k dataset reaches 83.9%.

- 2020.10.12
    * Add Paddle-Lite demo.

- 2020.10.10
    * Add cpp inference demo.
    * Improve FAQ tutorials.

* 2020.09.17
    * Add `HRNet_W48_C_ssld` pretrained model, whose Top-1 Acc on ImageNet1k dataset reaches 83.62%.
    * Add `ResNet34_vd_ssld` pretrained model, whose Top-1 Acc on ImageNet1k dataset reaches 79.72%.

* 2020.09.07
    * Add `HRNet_W18_C_ssld` pretrained model, whose Top-1 Acc on ImageNet1k dataset reaches 81.16%.
    * Add `MobileNetV3_small_x0_35_ssld` pretrained model, whose Top-1 Acc on ImageNet1k dataset reaches 55.55%.

* 2020.07.14
    * Add `Res2Net200_vd_26w_4s_ssld` pretrained model, whose Top-1 Acc on ImageNet1k dataset reaches 85.13%.
    * Add `Fix_ResNet50_vd_ssld_v2` pretrained model, whose Top-1 Acc on ImageNet1k dataset reaches 84.00%.

* 2020.06.17
    * Add English documents.

* 2020.06.12
    * Add support for training and evaluation on Windows or CPU.

* 2020.05.17
    * Add support for mixed precision training.

* 2020.05.09
    * Add user guide about Paddle Serving and Paddle-Lite.
    * Add benchmark about FP16/FP32 on T4 GPU.

* 2020.04.14
    * First commit.
