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Title: GitHub - MyGithubye/Detectron: FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet. · GitHub

Open Graph Title: GitHub - MyGithubye/Detectron: FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

X Title: GitHub - MyGithubye/Detectron: FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

Description: FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet. - MyGithubye/Detectron

Open Graph Description: FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet. - MyGithubye/Detectron

X Description: FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet. - MyGithubye/Detectron

Opengraph URL: https://github.com/MyGithubye/Detectron

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INSTALL.md	https://github.com/MyGithubye/Detectron/blob/master/INSTALL.md
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LICENSE	https://github.com/MyGithubye/Detectron/blob/master/LICENSE
LICENSE	https://github.com/MyGithubye/Detectron/blob/master/LICENSE
MODEL_ZOO.md	https://github.com/MyGithubye/Detectron/blob/master/MODEL_ZOO.md
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setup.py	https://github.com/MyGithubye/Detectron/blob/master/setup.py
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Code of conduct	https://github.com/MyGithubye/Detectron
Contributing	https://github.com/MyGithubye/Detectron
Apache-2.0 license	https://github.com/MyGithubye/Detectron
detectron2	https://github.com/facebookresearch/detectron2
	https://github.com/MyGithubye/Detectron#detectron
Mask R-CNN	https://arxiv.org/abs/1703.06870
Caffe2	https://github.com/caffe2/caffe2
Feature Pyramid Networks for Object Detection	https://arxiv.org/abs/1612.03144
Mask R-CNN	https://arxiv.org/abs/1703.06870
Detecting and Recognizing Human-Object Interactions	https://arxiv.org/abs/1704.07333
Focal Loss for Dense Object Detection	https://arxiv.org/abs/1708.02002
Non-local Neural Networks	https://arxiv.org/abs/1711.07971
Learning to Segment Every Thing	https://arxiv.org/abs/1711.10370
Data Distillation: Towards Omni-Supervised Learning	https://arxiv.org/abs/1712.04440
DensePose: Dense Human Pose Estimation In The Wild	https://arxiv.org/abs/1802.00434
Group Normalization	https://arxiv.org/abs/1803.08494
	https://github.com/MyGithubye/Detectron/blob/master/demo/output/33823288584_1d21cf0a26_k_example_output.jpg
	https://github.com/MyGithubye/Detectron#introduction
Mask R-CNN	https://arxiv.org/abs/1703.06870
RetinaNet	https://arxiv.org/abs/1708.02002
Faster R-CNN	https://arxiv.org/abs/1506.01497
RPN	https://arxiv.org/abs/1506.01497
Fast R-CNN	https://arxiv.org/abs/1504.08083
R-FCN	https://arxiv.org/abs/1605.06409
ResNeXt{50,101,152}	https://arxiv.org/abs/1611.05431
ResNet{50,101,152}	https://arxiv.org/abs/1512.03385
Feature Pyramid Networks	https://arxiv.org/abs/1612.03144
VGG16	https://arxiv.org/abs/1409.1556
References	https://github.com/MyGithubye/Detectron#references
	https://github.com/MyGithubye/Detectron#update
GN/README.md	https://github.com/MyGithubye/Detectron/blob/master/projects/GN/README.md
	https://github.com/MyGithubye/Detectron#license
Apache 2.0 license	https://github.com/facebookresearch/detectron/blob/master/LICENSE
NOTICE	https://github.com/facebookresearch/detectron/blob/master/NOTICE
	https://github.com/MyGithubye/Detectron#citing-detectron
Model Zoo	https://github.com/MyGithubye/Detectron/blob/master/MODEL_ZOO.md
	https://github.com/MyGithubye/Detectron#model-zoo-and-baselines
Detectron Model Zoo	https://github.com/MyGithubye/Detectron/blob/master/MODEL_ZOO.md
	https://github.com/MyGithubye/Detectron#installation
INSTALL.md	https://github.com/MyGithubye/Detectron/blob/master/INSTALL.md
	https://github.com/MyGithubye/Detectron#quick-start-using-detectron
GETTING_STARTED.md	https://github.com/MyGithubye/Detectron/blob/master/GETTING_STARTED.md
	https://github.com/MyGithubye/Detectron#getting-help
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CONTRIBUTING.md	https://github.com/MyGithubye/Detectron/blob/master/CONTRIBUTING.md
	https://github.com/MyGithubye/Detectron#references
Data Distillation: Towards Omni-Supervised Learning	https://arxiv.org/abs/1712.04440
Learning to Segment Every Thing	https://arxiv.org/abs/1711.10370
Non-Local Neural Networks	https://arxiv.org/abs/1711.07971
Mask R-CNN	https://arxiv.org/abs/1703.06870
Focal Loss for Dense Object Detection	https://arxiv.org/abs/1708.02002
Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour	https://arxiv.org/abs/1706.02677
Detecting and Recognizing Human-Object Interactions	https://arxiv.org/abs/1704.07333
Feature Pyramid Networks for Object Detection	https://arxiv.org/abs/1612.03144
Aggregated Residual Transformations for Deep Neural Networks	https://arxiv.org/abs/1611.05431
R-FCN: Object Detection via Region-based Fully Convolutional Networks	http://arxiv.org/abs/1605.06409
Deep Residual Learning for Image Recognition	http://arxiv.org/abs/1512.03385
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks	http://arxiv.org/abs/1506.01497
Fast R-CNN	http://arxiv.org/abs/1504.08083
Readme	https://github.com/MyGithubye/Detectron#readme-ov-file
Apache-2.0 license	https://github.com/MyGithubye/Detectron#Apache-2.0-1-ov-file
Code of conduct	https://github.com/MyGithubye/Detectron#coc-ov-file
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Please reload this page	https://github.com/MyGithubye/Detectron
	https://github.com
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