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https://github.com/ray-lee-94/AnchorFreeDetection
list the paper for recently anchor free detector
https://github.com/ray-lee-94/AnchorFreeDetection
2019 anchor-free detection-network image-detection resouce-management
Last synced: about 1 month ago
JSON representation
list the paper for recently anchor free detector
- Host: GitHub
- URL: https://github.com/ray-lee-94/AnchorFreeDetection
- Owner: VCBE123
- Created: 2019-05-12T02:34:14.000Z (about 5 years ago)
- Default Branch: master
- Last Pushed: 2020-08-07T02:02:01.000Z (almost 4 years ago)
- Last Synced: 2024-01-14T00:56:45.399Z (6 months ago)
- Topics: 2019, anchor-free, detection-network, image-detection, resouce-management
- Size: 10.7 KB
- Stars: 230
- Watchers: 27
- Forks: 43
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Lists
- awesome-anchor-free-object-detection - VCBE123/AnchorFreeDetection
README
# AnchorFreeDetection
list the paper for recently anchor free detector
### Last updated: 2020/8/7
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## Paper list
### 2020
- |**CircleNet**| CircleNet: Anchor-free Detection with Circle Representation **[arXiv'20]** [`[pdf]`](https://arxiv.org/pdf/2006.02474.pdf) |**2006**||
### 2019
- |**CornerNet**|CornerNet: Keypoint Triplets for Object Detection |**[arXiv' 18]**| [`[pdf]`](https://arxiv.org/pdf/1808.01244.pdf) |**1808**|
- |**ExtremeNet**|Bottom-up Object Detection by Grouping Extreme and Center Points|**[arXiv' 19]**||[`[pdf]`](https://arxiv.org/pdf/1901.08043.pdf) |**1901**|
- |**CornerNet-Lite**| CornerNet-Lite: Efficient Keypoint Based Object Detection |**[arXiv' 19]**||[`[pdf]`](https://arxiv.org/pdf/1904.08900.pdf) |**1904**|
- ||Segmentations is All You Need |**[arXiv' 19]**||[`[pdf]`](https://arxiv.org/pdf/1904.13300.pdf) |**1904**|
- |**FCOS**| FCOS: Fully Convolutional One-Stage Object Detection|**[arXiv' 19]**||[`[pdf]`](https://arxiv.org/abs/1904.01355.pdf) |**1904**|
- |**Fovea**|FoveaBox: Beyond Anchor-based Object Detector|**[arXiv' 19]**||[`[pdf]`](https://arxiv.org/pdf/1904.03797.pdf) |**1904**|
- |**CenterNet^1**| Objects as Points|**[arXiv' 19]**||[`[pdf]`](https://arxiv.org/pdf/1904.07850.pdf) |**1904**|
- |**CenterNet^2**|CenterNet: Keypoint Triplets for Object Detection|**[arXiv' 19]**||[`[pdf]`](https://arxiv.org/pdf/1904.08189.pdf) |**1904**|
- |**DuBox**|DuBox: No-Prior Box Objection Detection via Residual Dual Scale Detectors|**[arXiv' 19]**||[`[pdf]`](https://arxiv.org/pdf/1904.06883.pdf) |**1904**|
- |**RepPoints**|RepPoints: Point Set Representation for Object Detection|**[arXiv' 19]**||[`[pdf]`](https://arxiv.org/pdf/1904.11490.pdf) |**1904**|
- |**FSAF**|Feature Selective Anchor-Free Module for Single-Shot Object Detection|**[arXiv' 19]**|[`[pdf]`](https://arxiv.org/pdf/1903.00621.pdf)|**1903**|
- |**Matrix Nets**|Matrix Nets: A New Deep Architecture for Object Detection|**[arXiv'19]**||[`[pdf]`](https://arxiv.org/pdf/1908.04646.pdf)|**1908**|
- |**AFP-Nets**|AFP-Nets: Realtime Anchor-Free Polyp Detection in Colonoscopy|**[arXiv'19]**||[`[pdf]`](https://arxiv.org/pdf/1909.02477.pdf)|**1909**|
- |**AFO-TAD**|AFO-TAD: Anchor-free One-Stage Detection for Temporal Action Detection **[arXiv'19]** [`[pdf]`]( https://arxiv.org/pdf/1910.08250.pdf )|**1910**|
### Pre-study before 2019
- |**YOLO**|You Only Look Once:Unified, Real-Time Object Detection|**[arXiv' 15]**||[`[pdf]`](https://arxiv.org/pdf/1506.02640.pdf) |**1506**|
- |**DenseBox**|DenseBox: Unifying Landmark Localization with End to End Object Detection|**[arXiv' 15]**||[`[pdf]`](https://arxiv.org/pdf/1509.04874.pdf) |**1509**|
- |**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**|
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## Code Resource
- |**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
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