a-shi321 / US-DAF

Universal Domain Adaptive Object Detector

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US-DAF

A PyTorch implementation of "Universal Domain Adaptive Object Detector" (ACM MM 2022)

Preparation

Requirements: Python=3.6 and Pytorch=0.4.0

Install Pytorch

Our code is conducted based on faster-rcnn.pytorch, please setup the framework by it.

Pre-trained Models

In our experiments, we used two pre-trained models on ImageNet, i.e., VGG16 and ResNet101. Please download these two models.

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Universal Domain Adaptive Object Detector


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Language:Python 80.6%Language:C 9.8%Language:Cuda 6.9%Language:Cython 2.2%Language:MATLAB 0.3%Language:Shell 0.3%