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Object Detection 模型整理 (持續更新)

網路

  • SPPNet: Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition, ECCV, 2014
  • R-CNN: Rich feature hierarchies for accurate object detection and semantic segmentation, CVPR, 2014
  • Fast R-CNN, ICCV, 2015
  • Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks, NIPS, 2015
  • FPN: Feature Pyramid Networks for Object Detection, CVPR, 2017
  • SSD: Single Shot MultiBox Detector, ECCV, 2016
  • DSSD: Deconvolutional Single Shot Detector, CVPR, 2017
  • FSSD: Feature Fusion Single Shot Multibox Detector, arXiv, 2017
  • YOLO-v1: You Only Look Once: Unified, Real-Time Object Detection, ECCV, 2016
  • YOLO-v2: YOLO9000: Better, Faster, Stronger, arXiv, 2016
  • YOLO-v3: YOLOv3: An Incremental Improvement
  • R-FCN: Object Detection via Region-based Fully Convolutional Networks, NIPS, 2016
  • Deformable Convolutional Networks, ICCV, 2017
  • Faster R-CNN+SSD: Single-Shot Refinement Neural Network for Object Detection, CVPR, 2018
  • CornerNet: Detecting Objects as Paired Keypoints, ECCV, 2018
  • IoUNet: Acquisition of Localization Confidence for Accurate Object Detection, ECCV, 2018

理論

  • RetinaNet: Focal Loss for Dense Object Detection, ICCV, 2017