└── README.md /README.md: -------------------------------------------------------------------------------- 1 | # AnchorFreeDetection 2 | list the paper for recently anchor free detector 3 | 4 | ### Last updated: 2020/8/7 5 | 6 | ------------------------------------------------------------------------------------------------------------------------------------- 7 | ## Paper list 8 | 9 | ### 2020 10 | - |**CircleNet**| CircleNet: Anchor-free Detection with Circle Representation **[arXiv'20]** [`[pdf]`](https://arxiv.org/pdf/2006.02474.pdf) |**2006**|| 11 | 12 | ### 2019 13 | - |**CornerNet**|CornerNet: Keypoint Triplets for Object Detection |**[arXiv' 18]**| [`[pdf]`](https://arxiv.org/pdf/1808.01244.pdf) |**1808**| 14 | - |**ExtremeNet**|Bottom-up Object Detection by Grouping Extreme and Center Points|**[arXiv' 19]**||[`[pdf]`](https://arxiv.org/pdf/1901.08043.pdf) |**1901**| 15 | - |**CornerNet-Lite**| CornerNet-Lite: Efficient Keypoint Based Object Detection |**[arXiv' 19]**||[`[pdf]`](https://arxiv.org/pdf/1904.08900.pdf) |**1904**| 16 | - ||Segmentations is All You Need |**[arXiv' 19]**||[`[pdf]`](https://arxiv.org/pdf/1904.13300.pdf) |**1904**| 17 | - |**FCOS**| FCOS: Fully Convolutional One-Stage Object Detection|**[arXiv' 19]**||[`[pdf]`](https://arxiv.org/abs/1904.01355.pdf) |**1904**| 18 | - |**Fovea**|FoveaBox: Beyond Anchor-based Object Detector|**[arXiv' 19]**||[`[pdf]`](https://arxiv.org/pdf/1904.03797.pdf) |**1904**| 19 | - |**CenterNet^1**| Objects as Points|**[arXiv' 19]**||[`[pdf]`](https://arxiv.org/pdf/1904.07850.pdf) |**1904**| 20 | - |**CenterNet^2**|CenterNet: Keypoint Triplets for Object Detection|**[arXiv' 19]**||[`[pdf]`](https://arxiv.org/pdf/1904.08189.pdf) |**1904**| 21 | - |**DuBox**|DuBox: No-Prior Box Objection Detection via Residual Dual Scale Detectors|**[arXiv' 19]**||[`[pdf]`](https://arxiv.org/pdf/1904.06883.pdf) |**1904**| 22 | - |**RepPoints**|RepPoints: Point Set Representation for Object Detection|**[arXiv' 19]**||[`[pdf]`](https://arxiv.org/pdf/1904.11490.pdf) |**1904**| 23 | - |**FSAF**|Feature Selective Anchor-Free Module for Single-Shot Object Detection|**[arXiv' 19]**|[`[pdf]`](https://arxiv.org/pdf/1903.00621.pdf)|**1903**| 24 | 25 | - |**Matrix Nets**|Matrix Nets: A New Deep Architecture for Object Detection|**[arXiv'19]**||[`[pdf]`](https://arxiv.org/pdf/1908.04646.pdf)|**1908**| 26 | - |**AFP-Nets**|AFP-Nets: Realtime Anchor-Free Polyp Detection in Colonoscopy|**[arXiv'19]**||[`[pdf]`](https://arxiv.org/pdf/1909.02477.pdf)|**1909**| 27 | - |**AFO-TAD**|AFO-TAD: Anchor-free One-Stage Detection for Temporal Action Detection **[arXiv'19]** [`[pdf]`]( https://arxiv.org/pdf/1910.08250.pdf )|**1910**| 28 | 29 | 30 | ### Pre-study before 2019 31 | - |**YOLO**|You Only Look Once:Unified, Real-Time Object Detection|**[arXiv' 15]**||[`[pdf]`](https://arxiv.org/pdf/1506.02640.pdf) |**1506**| 32 | - |**DenseBox**|DenseBox: Unifying Landmark Localization with End to End Object Detection|**[arXiv' 15]**||[`[pdf]`](https://arxiv.org/pdf/1509.04874.pdf) |**1509**| 33 | - |**AF-RPN**|An Anchor-Free Region Proposal Network for Faster R-CNN based Text Detection Approaches|**[arXiv' 18]**||[`[pdf]`]( https://arxiv.org/pdf/1909.02477.pdf ) |**1804**| 34 | 35 | 36 | 37 | ------------------------------------------------------------------------------------------------------------------------------------- 38 | ## Code Resource 39 | 40 | - |**CornerNet**| (official, Pytorch) https://github.com/princeton-vl/CornerNet 41 | - |**CornerNet-Lite**| (official, Pytorch) https://github.com/princeton-vl/CornerNet-Lite 42 | - |**FCOS**| (official, Pytorch) https://github.com/tianzhi0549/FCOS 43 | - |**CenterNet^1**| (official, Pytorch) https://github.com/xingyizhou/CenterNet 44 | - |**CenterNet^2**| (official, pytorch) https://github.com/Duankaiwen/CenterNet 45 | - |**ExtremeNet**| (official, Pytorch) https://github.com/xingyizhou/ExtremeNet 46 | 47 | 48 | 49 | --------------------------------------------------------------------------------------------------- 50 | 51 | --------------------------------------------------------------------------------