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Detectron2 implementations of object detection and instance segmentation on KITTI, KITTI-MOTS and MOTS Challenge datasets. Extensively experimented with different Faster-RCNN, RetinaNet and Mask-RCNN architectures available in the Model Zoo.

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Team 02: MCV-M5 Visual Recognition Project: Scene Understanding for Autonomous Driving

Members

  • Aditya Sangram Singh Rana (email)
  • Òscar Lorente Corominas (email)
  • Ian Riera Smolinska (email)

Final Report Arxiv Link

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Detectron2 implementations of object detection and instance segmentation on KITTI, KITTI-MOTS and MOTS Challenge datasets. Extensively experimented with different Faster-RCNN, RetinaNet and Mask-RCNN architectures available in the Model Zoo.

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