list the paper for recently anchor free detector
- |CornerNet|CornerNet: Keypoint Triplets for Object Detection |[arXiv' 18]|
[pdf]|1808| - |ExtremeNet|Bottom-up Object Detection by Grouping Extreme and Center Points|[arXiv' 19]||
[pdf]|1901| - |CornerNet-Lite| CornerNet-Lite: Efficient Keypoint Based Object Detection |[arXiv' 19]||
[pdf]|1904| - ||Segmentations is All You Need |[arXiv' 19]||
[pdf]|1904| - |FCOS| FCOS: Fully Convolutional One-Stage Object Detection|[arXiv' 19]||
[pdf]|1904| - |Fovea|FoveaBox: Beyond Anchor-based Object Detector|[arXiv' 19]||
[pdf]|1904| - |CenterNet^1| Objects as Points|[arXiv' 19]||
[pdf]|1904| - |CenterNet^2|CenterNet: Keypoint Triplets for Object Detection|[arXiv' 19]||
[pdf]|1904| - |DuBox|DuBox: No-Prior Box Objection Detection via Residual Dual Scale Detectors|[arXiv' 19]||
[pdf]|1904| - |RepPoints|RepPoints: Point Set Representation for Object Detection|[arXiv' 19]||
[pdf]|1904| - |FSAF|Feature Selective Anchor-Free Module for Single-Shot Object Detection|[arXiv' 19]|
[pdf]|1903| - |Matrix Nets|Matrix Nets: A New Deep Architecture for Object Detection|[arXiv'19]||
[pdf]|1908|
- |YOLO|You Only Look Once:Unified, Real-Time Object Detection|[arXiv' 15]||
[pdf]|1506| - |DenseBox|DenseBox: Unifying Landmark Localization with End to End Object Detection|[arXiv' 15]||
[pdf]|1509| - |AF-RPN|An Anchor-Free Region Proposal Network for Faster R-CNN based Text Detection Approaches|[arXiv' 18]||
[pdf]|1804|
- |CornerNet| (official, Pytorch) https://github.com/princeton-vl/CornerNet
- |CornerNet-Lite| (official, Pytorch) https://github.com/princeton-vl/CornerNet-Lite
- |FCOS| (official, Pytorch) https://github.com/tianzhi0549/FCOS
- |CenterNet^1| (official, Pytorch) https://github.com/xingyizhou/CenterNet
- |CenterNet^2| (official, pytorch) https://github.com/Duankaiwen/CenterNet
- |ExtremeNet| (official, Pytorch) https://github.com/xingyizhou/ExtremeNet