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 # Pytorch implementation of [SCL-Domain-Adaptive-Object-Detection](https://arxiv.org/abs/1911.02559) 
 ## Introduction 
-Please follow [faster-rcnn](https://github.com/jwyang/faster-rcnn.pytorch) repository to setup the environment. This code is based on the implemenatation of **Strong-Weak Distribution Alignment for Adaptive Object Detection**. We used Pytorch 0.4.0 for this project. The different version of pytorch will cause some errors, which have to be handled based on each envirionment.
+Please follow [faster-rcnn](https://github.com/jwyang/faster-rcnn.pytorch) repository to setup the environment. This code is based on the implementation of **Strong-Weak Distribution Alignment for Adaptive Object Detection**. We used Pytorch 0.4.0 for this project. The different version of pytorch will cause some errors, which have to be handled based on each envirionment.
 <br />
 For convenience, this repository contains implementation of: <br />
 * SCL: Towards Accurate Domain Adaptive Object Detection via Gradient Detach Based Stacked Complementary Losses ([link](http://arxiv.org/abs/1911.02559))<br />