前言
update on 4/10/2021: 终于完成了2D_Detection系列，算是对之前自己在这个领域工作的一点回顾，之后自己会不定期更新一些深度学习模型部署的文章以及论文解读的文章
本文旨在总结之前自己涉及的 2D-Detection 相关的知识内容，按照下文组织内容，分篇章不定时更新。
主要参考来源：
<<深度学习之Pytorch物体检测实战>>- 网络:
知乎/CSDNetc
公开数据集
常用的数据集链接如下：
经典论文
说明： 更新于2021-05-02
不同Detectio算法框架性能对比:
| Detector | VOC07(mAP@IoU=0.5) | VOC12(mAP@IoU=0.5) | COCO(mAP@IoU=0.5:0.95) | Published In |
| RCNN | 58.5 | - | - | CVPR’14 |
| SPP-Net | 59.2 | - | - | ECCV’14 |
| MR-CNN | 78.2(07+12) | 73.9(07+12) | - | ICCV’15 |
| Fast RCNN | 70.0(07+12) | 68.4(07+12) | 19.7 | ICCV’15 |
| Faster RCNN | 73.2(07+12) | 70.4(07+12) | 21.9 | NIPS’15 |
| YOLO v1 | 66.4(07+12) | 57.9(07+12) | - | CVPR’16 |
| G-CNN | 66.8 | 66.4(07+12) | - | CVPR’16 |
| AZNet | 70.4 | - | 22.3 | CVPR’16 |
| ION | 80.1 | 77.9 | 33.1 | CVPR’16 |
| HyperNet | 76.3(07+12) | 71.4(07+12) | - | CVPR’16 |
| OHEM | 78.9(07+12) | 76.3(07+12) | 22.4 | CVPR’16 |
| MPN | - | - | 33.2 | BMVC’16 |
| SSD | 76.8(07+12) | 74.9(07+12) | 31.2 | ECCV’16 |
| GBDNet | 77.2(07+12) | - | 27.0 | ECCV’16 |
| CPF | 76.4(07+12) | 72.6(07+12) | - | ECCV’16 |
| R-FCN | 79.5(07+12) | 77.6(07+12) | 29.9 | NIPS’16 |
| DeepID-Net | 69.0 | - | - | PAMI’16 |
| NoC | 71.6(07+12) | 68.8(07+12) | 27.2 | TPAMI’16 |
| DSSD | 81.5(07+12) | 80.0(07+12) | 33.2 | arXiv’17 |
| TDM | - | - | 37.3 | CVPR’17 |
| FPN | - | - | 36.2 | CVPR’17 |
| YOLO v2 | 78.6(07+12) | 73.4(07+12) | - | CVPR’17 |
| RON | 77.6(07+12) | 75.4(07+12) | 27.4 | CVPR’17 |
| DeNet | 77.1(07+12) | 73.9(07+12) | 33.8 | ICCV’17 |
| CoupleNet | 82.7(07+12) | 80.4(07+12)) | 34.4 | ICCV’17 |
| RetinaNet | - | - | 39.1 | ICCV’17 |
| DSOD | 77.7(07+12) | 76.3(07+12) | - | ICCV’17 |
| SMN | 70.0 | - | - | ICCV’17 |
| Light-Head R-CNN | - | - | 41.5 | arXiv’17 |
| YOLO v3 | - | - | 33.0 | arXiv’18 |
| SIN | 76.0(07+12) | 73.1(07+12) | 23.2 | CVPR’18 |
| STDN | 80.9(07+12) | - | - | CVPR’18 |
| RefineDet | 83.8(07+12) | 83.5(07+12) | 41.8 | |
| SNIP | - | - | 45.7 | CVPR’18 |
| Relation-Network | - | - | 32.5 | CVPR’18 |
| Cascade R-CNN | - | - | 42.8 | CVPR’18 |
| MLKP | 80.6(07+12) | 77.2(07+12) | 28.6 | CVPR’18 |
| Fitness-NMS | - | - | 41.8 | CVPR’18 |
| RFBNet | 82.2(07+12) | - | - | ECCV’18 |
| CornerNet | - | - | 42.1 | ECCV’18 |
| PFPNet | 84.1(07+12) | 83.7(07+12) | 39.4 | ECCV’18 |
| Pelee | 70.9(07+12) | - | - | NIPS’18 |
| HKRM | 78.8(07+12) | - | 37.8 | NIPS’18 |
| M2Det | - | - | 44.2 | AAAI’19 |
| E-DAD | 81.2 | 82.0 | 43.1 | AAAI’19 |
| ScratchDet | 84.1(07+12) | 83.6(07+12) | 39.1 | CVPR’19 |
| Libra R-CNN | - | - | 43.0 | CVPR’19 |
| Reasoning-RCNN | 82.5(07+12) | - | 43.2 | CVPR’19 |
| FSAF | - | - | 44.6 | CVPR’19 |
| AmoebaNet+NAS-FPN | - | - | 47.0 | CVPR’19 |
| Cascade-RetinaNet | - | - | 41.1 | CVPR’19 |
| TridenNet | - | - | 48.4 | ICCV’19 |
| DAFS | 85.3(07+12) | 83.1(07+12) | 40.5 | ICCV’19 |
| Auto-FPN | 81.8(07+12) | - | 40.5 | ICCV’19 |
| FCOS | - | - | 44.7 | ICCV’19 |
| FreeAnchor | - | - | 44.8 | NeurIPS’19 |
| DetNAS | 81.5(07+12) | - | 42.0 | NeurIPS’19 |
| NATS | - | - | 42.0 | NeurIPS’19 |
| AmoebaNet+NAS-FPN+AA | - | - | 50.7 | arXiv’19 |
| EfficientDet | - | - | 51.0 | arXiv’19 |