56 lines
2.2 KiB
Markdown
56 lines
2.2 KiB
Markdown
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# Release Notes
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- 2021.04.15
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- 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%.
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- 2021.01.27
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* Add ViT and DeiT pretrained models, ViT's Top-1 Acc on ImageNet reaches 81.05%, and DeiT reaches 85.5%.
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- 2021.01.08
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* Add support for whl package and its usage, Model inference can be done by simply install paddleclas using pip.
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- 2020.12.16
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* Add support for TensorRT when using cpp inference to obain more obvious acceleration.
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- 2020.12.06
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* Add `SE_HRNet_W64_C_ssld` pretrained model, whose Top-1 Acc on ImageNet1k dataset reaches 84.75%.
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- 2020.11.23
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* Add `GhostNet_x1_3_ssld` pretrained model, whose Top-1 Acc on ImageNet1k dataset reaches 79.38%.
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- 2020.11.09
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* Add `InceptionV3` architecture and pretrained model, whose Top-1 Acc on ImageNet1k dataset reaches 79.1%.
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* 2020.10.20
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* Add `Res2Net50_vd_26w_4s_ssld` pretrained model, whose Top-1 Acc on ImageNet1k dataset reaches 83.1%.
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* Add `Res2Net101_vd_26w_4s_ssld` pretrained model, whose Top-1 Acc on ImageNet1k dataset reaches 83.9%.
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- 2020.10.12
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* Add Paddle-Lite demo.
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- 2020.10.10
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* Add cpp inference demo.
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* Improve FAQ tutorials.
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* 2020.09.17
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* Add `HRNet_W48_C_ssld` pretrained model, whose Top-1 Acc on ImageNet1k dataset reaches 83.62%.
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* Add `ResNet34_vd_ssld` pretrained model, whose Top-1 Acc on ImageNet1k dataset reaches 79.72%.
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* 2020.09.07
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* Add `HRNet_W18_C_ssld` pretrained model, whose Top-1 Acc on ImageNet1k dataset reaches 81.16%.
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* Add `MobileNetV3_small_x0_35_ssld` pretrained model, whose Top-1 Acc on ImageNet1k dataset reaches 55.55%.
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* 2020.07.14
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* Add `Res2Net200_vd_26w_4s_ssld` pretrained model, whose Top-1 Acc on ImageNet1k dataset reaches 85.13%.
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* Add `Fix_ResNet50_vd_ssld_v2` pretrained model, whose Top-1 Acc on ImageNet1k dataset reaches 84.00%.
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* 2020.06.17
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* Add English documents.
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* 2020.06.12
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* Add support for training and evaluation on Windows or CPU.
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* 2020.05.17
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* Add support for mixed precision training.
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* 2020.05.09
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* Add user guide about Paddle Serving and Paddle-Lite.
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* Add benchmark about FP16/FP32 on T4 GPU.
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* 2020.04.14
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* First commit.
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