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  • Survey Papers / Repos
  • Resources
  • Models
  • Two Stage (Region Proposal + ROI Head)
  • One Stage
  • Others
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  1. Machine Learning

Detection

detection (shall including semantic, panoptic segmentation)

Survey Papers / Repos

  • Object Detection with Deep Learning: A Review [1807.05511]

  • Deep Learning for Generic Object Detection: A Survey [1809.02165]

  • Object Detection in 20 Years: A Survey [1905.05055]

  • hoya012/deep_learning_object_detection

  • amusi/awesome-object-detection

Resources

  • torchvision - object detection: official pytorch toolkit for vision

  • open-mmlab/mmdetection: a marvellous open sourced lib with nearly all SOTA models

  • facebookresearch/detectron2: detectron implemented in pytorch by Facebook

  • TuSimple/simpledet: detection lib by TuSimple

  • hardly used now (2019.11)

    • facebookresearch/Detectron

    • facebookresearch/maskrcnn-benchmark

Models

Two Stage (Region Proposal + ROI Head)

  • Faster RCNN [1506.01497]

  • R-FCN [1605.06409]

  • Feature Pyramid Network [1612.03144]

  • Mask RCNN [1703.06870]

  • Cascade RCNN [1712.00726]

  • Hybrid Task Cascade [1901.07518]

  • HRNet [1908.07919]

One Stage

  • SSD [1512.02325]

  • YOLOv1 [1506.02640]

  • YOLOv2 [1612.08242]

  • RetinaNet (Focal Loss) [1708.02002]

  • YOLOv3 [1804.02767]

  • CornerNet [1808.01244]

  • CenterNet [1904.07850]

  • CenterNet [1904.08189]

  • EfficientDet [1911.09070]

Others

  • Online Hard Example Mining (OHEM)

  • Mean Average Precision (mAP)

  • Empirical Upper-bound in Object Detection and More [1911.12451]

Datasets

  • PASCAL VOC

  • COCO

  • Open Images Dataset

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Last updated 3 years ago

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