for anyone who wants to do research about anchor free object detection.
If you find the awesome paper/code/dataset or have some suggestions, please contact xin.zhang2018@nlpr.ia.ac.cn, nuo.xu@nlpr.ia.ac.cn and xswang@wayne.edu. Thanks for your valuable contribution to the research community
- Recent papers (from 2015)
- Recent papers (from 2015)
Statistics:
2020
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[arXiv] OneNet: End-to-End One-Stage Object Detection by Classification Cost.[pytorch]
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[arXiv] End-to-End Object Detection with Fully Convolutional Network
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[arXiv] Sparse R-CNN: End-to-End Object Detection with Learnable Proposals.[pytorch]
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[arXiv] End-to-End Object Detection with Transformers.[pytorch]
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[arXiv] AutoAssign: Differentiable Label Assignment for Dense Object Detection.
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[arXiv] RepPoints V2: Verification Meets Regression for Object Detection. [pytorch]
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[ECCV] Corner Proposal Network for Anchor-free, Two-stage Object Detection. [Available soon]
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[ECCV] HoughNet: Integrating near and long-range evidence for bottom-up object detection. [pytorch]
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[CVPR] Bridging the Gap Between Anchor-based and Anchor-free Detection via Adaptive Training Sample Selection. [pytorch]
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[CVPR] CentripetalNet: Pursuing High-quality Keypoint Pairs for Object Detection. [pytorch]
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[arXiv] SaccadeNet: A Fast and Accurate Object Detector. [pytorch]
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[arXiv] Localization Uncertainty Estimation for Anchor-Free Object Detection.
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[ECCV] Dense RepPoints: Representing Visual Objects with Dense Point Sets. [pytorch]
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[ECCV] BorderDet: Border Feature for Dense Object Detection. [pytorch]
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[arXiv] Generalized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Dense Object Detection. [pytorch]
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2019
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[ICCV] RepPoints: Point Set Representation for Object Detection. [pytorch]
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[arXiv] Segmentation is All You Need.
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[arXiv] FCOS: Fully Convolutional One-Stage Object Detection. [pytorch]
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[arXiv] CenterNet: Keypoint Triplets for Object Detection. [pytorch]
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[arXiv] FoveaBox: Beyond Anchor-based Object Detector. [pytorch]
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[CVPR] Feature Selective Anchor-Free Module for Single-Shot Object Detection. [pytorch]
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[arXiv] ExtremeNet: Bottom-up Object Detection by Grouping Extreme and Center Points. [pytorch]
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2018
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[ECCV] CornerNet: Detecting Objects as Paired Keypoints. [pytorch]
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[arXiv] An Anchor-Free Region Proposal Network for Faster R-CNN based Text Detection Approaches.
2016
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[CVPR] You Only Look Once: Unified, Real-Time Object Detection. [tensorflow] [darknet]
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[acm multimedia] UnitBox: An Advanced Object Detection Network. [tensorflow]