A PyTorch implementation of DANet based on CVPR 2019 paper "Dual Attention Network for Scene Segmentation"
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Updated
Oct 30, 2019 - Python
A PyTorch implementation of DANet based on CVPR 2019 paper "Dual Attention Network for Scene Segmentation"
Detectron 2 model by Facebook is applied on the Robosub Transdec dataset.
Sushi-detector using the Detectron2 APIs
Train license plates detection model using Detectron2
This small tutorial is targeted at researchers that have basic machine learning and Python programming skills that want to implement instance image segmentation for further use in their models.
Instance segmentation using Detectron 2
A PyTorch implementation of PointRend: Image Segmentation as Rendering
A PyTorch implementation of EMANet based on ICCV 2019 paper "Expectation-Maximization Attention Networks for Semantic Segmentation"
apextrainer is an open source toolbox for fp16 trainer based on Detectron2 and Apex
Single object tracking (SOT) using detectron2
Cut out objects and remove backgrounds from pictures with artificial intelligence
まちカドまぞくのデータセットでdetectron2をやってみる
まちカドまぞくのデータセットでdetectron2をやってみる(カスタム編)
Change backgrounds of image and video data using Computer Vision
Detectron2 is Facebook AI Research's next generation software system that implements state-of-the-art object detection algorithms.
Reproduction of SEC "Seed, Expand and Constrain: Three Principles for Weakly-Supervised Image Segmentation." Based on Detectron2
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