https://github.com/ajithvcoder/awesome-rcnn
Contains detials of extra ordinary capability of RCNN genre
https://github.com/ajithvcoder/awesome-rcnn
List: awesome-rcnn
Last synced: 28 days ago
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Contains detials of extra ordinary capability of RCNN genre
- Host: GitHub
- URL: https://github.com/ajithvcoder/awesome-rcnn
- Owner: ajithvcoder
- License: mit
- Created: 2020-10-17T06:12:15.000Z (over 5 years ago)
- Default Branch: main
- Last Pushed: 2021-07-24T14:14:06.000Z (over 4 years ago)
- Last Synced: 2025-10-26T08:01:59.133Z (5 months ago)
- Size: 2.93 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# awesome-rcnn
Contains detials of extra ordinary capability or a breakthrough of R-CNN Genere
S.No|RCNN Type | Year | Paper | Code
-- |--- | -- | -- | --
1 | R-CNN | 2013 | [paper](https://arxiv.org/abs/1311.2524) | [code](https://github.com/rbgirshick/rcnn)
2 | Fast R-CNN | 2015 | [paper](https://arxiv.org/abs/1504.08083) | [code](https://github.com/rbgirshick/fast-rcnn)
3 | Faster R-CNN | 2015 | [paper](https://arxiv.org/abs/1506.01497) | [code](https://github.com/jwyang/faster-rcnn.pytorch)
4 | CMS-RCNN | 2016 | [paper](https://arxiv.org/pdf/1606.05413v1.pdf) | code
5 | Mask R-CNN | 2017 | [paper](https://arxiv.org/abs/1703.06870#:~:text=The%20method%2C%20called%20Mask%20R,CNN%2C%20running%20at%205%20fps.) | [code1](https://github.com/matterport/Mask_RCNN) , [code2](https://github.com/multimodallearning/pytorch-mask-rcnn)
6 | Revisting R-CNN | 2018 | [paper](https://www.ecva.net/papers/eccv_2018/papers_ECCV/papers/Bowen_Cheng_Revisiting_RCNN_On_ECCV_2018_paper.pdf) | [code](https://github.com/SHI-Labs/Decoupled-Classification-Refinement)
7 | Plane R-CNN | 2018 | [paper](https://arxiv.org/abs/1812.04072) | [code](https://github.com/NVlabs/planercnn)
8 | PointRCNN | 2018 | [paper](https://arxiv.org/abs/1812.04244) | [code](https://github.com/sshaoshuai/PointRCNN)
9 | 3D-RCNN | 2018 | [paper](https://openaccess.thecvf.com/content_cvpr_2018/papers/Kundu_3D-RCNN_Instance-Level_3D_CVPR_2018_paper.pdf) | code not available
10 | SAM-RCNN | 2018 | [paper](https://arxiv.org/abs/1808.02246v1) | Code not available
11 | MITOS-RCNN | 2018 | [paper](https://arxiv.org/pdf/1807.01788v1.pdf) | Code not available
12 | Reasoning R-CNN | 2019 | [paper](https://openaccess.thecvf.com/content_CVPR_2019/papers/Xu_Reasoning-RCNN_Unifying_Adaptive_Global_Reasoning_Into_Large-Scale_Object_Detection_CVPR_2019_paper.pdf) | [code](https://github.com/chanyn/Reasoning-RCNN)
13 | Stereo R-CNN | 2019 | [paper](https://arxiv.org/pdf/1902.09738v2.pdf) | [code](https://github.com/HKUST-Aerial-Robotics/Stereo-RCNN)
14 | NOTE-RCNN | 2019 | [paper](https://arxiv.org/abs/1812.00124v1) | Code not available
15 | PI-RCNN | 2019 | [paper](https://arxiv.org/pdf/1911.06084v3.pdf) | Code not available
16 | PV-R-CNN | 2020 | [paper](https://arxiv.org/abs/1912.13192) | [code](https://github.com/sshaoshuai/PV-RCNN)
17 | Siam R-CNN | 2020 | [paper](https://arxiv.org/abs/1911.12836) | [code](https://github.com/VisualComputingInstitute/SiamR-CNN)
18 | Context-Aware RCNN | 2020 | [paper](https://arxiv.org/pdf/2007.09861v1.pdf) | [code](https://github.com/MCG-NJU/CRCNN-Action)
19 | Track-RCNN | 2020 | [paper](https://arxiv.org/pdf/2004.07786v1.pdf) | Code not available
20 | Universal-RCNN | 2020 | [paper](https://arxiv.org/abs/2002.07417v1) | Code not available
21 | PS-RCNN | 2020 | [paper](https://arxiv.org/pdf/2003.07080v1.pdf) | Code not available
22 | RCNN-SliceNet | 2021 | [paper](https://openaccess.thecvf.com/content/CVPR2021W/CVMI/html/Wu_RCNN-SliceNet_A_Slice_and_Cluster_Approach_for_Nuclei_Centroid_Detection_CVPRW_2021_paper.html) | Code not available