- mmdetection 자료 : https://github.com/open-mmlab/mmdetection
- mmdetection documentation : https://mmdetection.readthedocs.io/en/latest/
- efficientnet & mmdetection : https://github.com/HardLaugh/EfficientDet-bifpn
- swin Transform & mmdetection : https://github.com/SwinTransformer/Swin-Transformer-Object-Detection
code library github
- mmcv : https://github.com/open-mmlab/mmcvtwo stage
- rcnn : https://arxiv.org/pdf/1311.2524.pdf- fast rcnn : https://arxiv.org/pdf/1504.08083.pdf
- faster rcnn : https://arxiv.org/pdf/1506.01497.pdf
- mask rcnn : https://arxiv.org/pdf/1703.06870.pdf
multi stage
- cascade mask rcnn : https://arxiv.org/pdf/1712.00726v1.pdf- hybrid task cascade : https://arxiv.org/pdf/1901.07518v2.pdf
- Backbone
- AN IMAGE IS WORTH 16X16 WORDS: https://arxiv.org/pdf/2010.11929.pdf
- DeiT : https://arxiv.org/pdf/2012.12877.pdf
- Swin Transformer : https://arxiv.org/pdf/2103.14030.pdf
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent