Object Detection 模型整理 (持續更新)
阿新 • • 發佈:2018-12-18
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