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open-mmlab / mmdetection

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MIC-DKFZ / medicaldetectiontoolkit

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The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN, Retina Net, Retina U-Net, as well as a training and inference framework focused on dealing with medical images.

deep-neural-networks deep-learning detection inference medical-imaging segmentation object-detection medical-image-computing semantic-segmentation 3d-models medical-image-processing mask-rcnn u-net medical-image-analysis 2d-3d pytorch-cnn retina-net 3d-object-detection pytorch-implementation pytorch-deeplearning retina-unet 3d-mask-rcnn
  • Updated Apr 1, 2022
  • Python

airctic / icevision

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[Example request] Multi-task learning example

eshoyuan
eshoyuan commented Mar 12, 2022

"Multi-task training to efficiently combine object detection, segmentation, and classification models" is a feature of icevision. However, I don't know how to use icevision to do multi-task learning like object detection and classication. I just need a simple example without details.

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Main issue for examples: #39

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documentation help wanted good first issue example request

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