└── README.md /README.md: -------------------------------------------------------------------------------- 1 | # AnchorFreeDetection 2 | list the paper for recently anchor free detector 3 | 4 | ### Last updated: 2019/08/17 5 | ------------------------------------------------------------------------------------------------------------------------------------- 6 | ## Paper list 7 | 8 | - |**CornerNet**|CornerNet: Keypoint Triplets for Object Detection |**[arXiv' 18]**| [`[pdf]`](https://arxiv.org/pdf/1808.01244.pdf) |**1808**| 9 | - |**ExtremeNet**|Bottom-up Object Detection by Grouping Extreme and Center Points|**[arXiv' 19]**||[`[pdf]`](https://arxiv.org/pdf/1901.08043.pdf) |**1901**| 10 | - |**CornerNet-Lite**| CornerNet-Lite: Efficient Keypoint Based Object Detection |**[arXiv' 19]**||[`[pdf]`](https://arxiv.org/pdf/1904.08900.pdf) |**1904**| 11 | - ||Segmentations is All You Need |**[arXiv' 19]**||[`[pdf]`](https://arxiv.org/pdf/1904.13300.pdf) |**1904**| 12 | - |**FCOS**| FCOS: Fully Convolutional One-Stage Object Detection|**[arXiv' 19]**||[`[pdf]`](https://arxiv.org/abs/1904.01355.pdf) |**1904**| 13 | - |**Fovea**|FoveaBox: Beyond Anchor-based Object Detector|**[arXiv' 19]**||[`[pdf]`](https://arxiv.org/pdf/1904.03797.pdf) |**1904**| 14 | - |**CenterNet^1**| Objects as Points|**[arXiv' 19]**||[`[pdf]`](https://arxiv.org/pdf/1904.07850.pdf) |**1904**| 15 | - |**CenterNet^2**|CenterNet: Keypoint Triplets for Object Detection|**[arXiv' 19]**||[`[pdf]`](https://arxiv.org/pdf/1904.08189.pdf) |**1904**| 16 | - |**DuBox**|DuBox: No-Prior Box Objection Detection via Residual Dual Scale Detectors|**[arXiv' 19]**||[`[pdf]`](https://arxiv.org/pdf/1904.06883.pdf) |**1904**| 17 | - |**RepPoints**|RepPoints: Point Set Representation for Object Detection|**[arXiv' 19]**||[`[pdf]`](https://arxiv.org/pdf/1904.11490.pdf) |**1904**| 18 | - |**FSAF**|Feature Selective Anchor-Free Module for Single-Shot Object Detection|**[arXiv' 19]**|[`[pdf]`](https://arxiv.org/pdf/1903.00621.pdf)|**1903**| 19 | - |**Matrix Nets**|Matrix Nets: A New Deep Architecture for Object Detection|**[arXiv'19]**||[`[pdf]`](https://arxiv.org/pdf/1908.04646.pdf)|**1908**| 20 | 21 | 22 | ### Pre-study before 2019 23 | - |**YOLO**|You Only Look Once:Unified, Real-Time Object Detection|**[arXiv' 15]**||[`[pdf]`](https://arxiv.org/pdf/1506.02640.pdf) |**1506**| 24 | - |**DenseBox**|DenseBox: Unifying Landmark Localization with End to End Object Detection|**[arXiv' 15]**||[`[pdf]`](https://arxiv.org/pdf/1509.04874.pdf) |**1509**| 25 | - |**AF-RPN**|An Anchor-Free Region Proposal Network for Faster R-CNN based Text Detection Approaches|**[arXiv' 18]**||[`[pdf]`](https://arxiv.org/ftp/arxiv/papers/1804/1804.09003.pdf) |**1804**| 26 | 27 | 28 | 29 | ------------------------------------------------------------------------------------------------------------------------------------- 30 | ## Code Resource 31 | 32 | - |**CornerNet**| (official, Pytorch) https://github.com/princeton-vl/CornerNet 33 | - |**CornerNet-Lite**| (official, Pytorch) https://github.com/princeton-vl/CornerNet-Lite 34 | - |**FCOS**| (official, Pytorch) https://github.com/tianzhi0549/FCOS 35 | - |**CenterNet^1**| (official, Pytorch) https://github.com/xingyizhou/CenterNet 36 | - |**CenterNet^2**| (official, pytorch) https://github.com/Duankaiwen/CenterNet 37 | - |**ExtremeNet**| (official, Pytorch) https://github.com/xingyizhou/ExtremeNet 38 | 39 | 40 | 41 | --------------------------------------------------------------------------------------------------- 42 | 43 | --------------------------------------------------------------------------------