MultiNet

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Implementations

MultiNet is able to jointly perform road segmentation, car detection and street classification. The model achieves real-time speed and state-of-the-art performance in segmentation. Check out our paper for a detailed model description.

  

  

MultiNet is optimized to perform well at a real-time speed. It has two components: KittiSeg, which sets a new state-of-the art in road segmentation; and KittiBox, which improves over the baseline Faster-RCNN in both inference speed and detection performance.

Hypes: https://github.com/MarvinTeichmann/MultiNet/tree/master/hypes

Github: https://github.com/MarvinTeichmann/MultiNet

segmentationmultinet
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