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awesome-object-detection

Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html
https://github.com/amusi/awesome-object-detection

Last synced: 4 days ago
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YOLO
- ![img
- ![img
SSD
- ![img
- http://www.cs.unc.edu/%7Ewliu/papers/ssd_eccv2016_slide.pdf
DSOD
- img
2018
- https://arxiv.org/abs/1711.07767
- https://github.com/ruinmessi/RFBNet
Other
- mmdetection(SenseTime&CUHK) - mmlab project developed by [Multimedia Laboratory, CUHK](http://mmlab.ie.cuhk.edu.hk/).
- Detectron(FAIR) - of-the-art object detection algorithms, including [Mask R-CNN](https://arxiv.org/abs/1703.06870). It is written in Python and powered by the [Caffe2](https://github.com/caffe2/caffe2) deep learning framework.
- Detectron2 - generation research platform for object detection and segmentation.
- maskrcnn-benchmark(FAIR)
- mmdetection(SenseTime&CUHK) - mmlab project developed by [Multimedia Laboratory, CUHK](http://mmlab.ie.cuhk.edu.hk/).

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Categories

Other 5 2018 2 YOLO 2 SSD 2 DSOD 1

Sub Categories

Keywords

yolo 1 vision-transformer 1 transformer 1 swin-transformer 1 ssd 1 semisupervised-learning 1 rtmdet 1 retinanet 1 pytorch 1 panoptic-segmentation 1 object-detection 1 mask-rcnn 1 instance-segmentation 1 grounding-dino 1 glip 1 faster-rcnn 1 fast-rcnn 1 detr 1 convnext 1 cascade-rcnn 1