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@ -10,6 +10,7 @@ All the models are implemented in pytorch/mxnet/tensorflown first, and export a
## News
- `6 Jul 2022`. [xiang-wuu](https://github.com/xiang-wuu): SuperPoint - Self-Supervised Interest Point Detection and Description, vSLAM related.
- `26 May 2022`. [triple-Mu](https://github.com/triple-Mu): YOLOv5 python script with CUDA Python API.
- `23 May 2022`. [yhpark](https://github.com/yester31): Real-ESRGAN, Practical Algorithms for General Image/Video Restoration.
- `19 May 2022`. [vjsrinivas](https://github.com/vjsrinivas): YOLOv3 TRT8 support and Python script.
@ -24,7 +25,6 @@ All the models are implemented in pytorch/mxnet/tensorflown first, and export a
- `17 May 2021`. [ybw108](https://github.com/ybw108): arcface LResNet100E-IR and MobileFaceNet.
- `6 May 2021`. [makaveli10](https://github.com/makaveli10): scaled-yolov4 yolov4-csp.
- `29 Apr 2021`. [upczww](https://github.com/upczww): hrnet segmentation w18/w32/w48, ocr branch also.
- `28 Apr 2021`. [aditya-dl](https://github.com/aditya-dl): mobilenetv2, alexnet, densenet121, mobilenetv3 with python API.
## Tutorials
@ -93,6 +93,7 @@ Following models are implemented.
|[detr](./detr)| DE⫶TR, pytorch from [facebookresearch/detr](https://github.com/facebookresearch/detr) |
|[swin-transformer](./swin-transformer)| Swin Transformer - Semantic Segmentation, only support Swin-T. The Pytorch implementation is [microsoft/Swin-Transformer](https://github.com/microsoft/Swin-Transformer.git) |
|[real-esrgan](./real-esrgan)| Real-ESRGAN. The Pytorch implementation is [real-esrgan](https://github.com/xinntao/Real-ESRGAN) |
|[superpoint](./superpoint)| SuperPoint. The Pytorch model is from [magicleap/SuperPointPretrainedNetwork](https://github.com/magicleap/SuperPointPretrainedNetwork) |
## Model Zoo