mrgloom / CNN-detector-evaluation

CNN detector evaluation

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CNN-detector-evaluation

CNN detector evaluation

Single Shot MultiBox Detector (SSD)
Paper: https://arxiv.org/pdf/1512.02325.pdf
https://github.com/balancap/SSD-Tensorflow [Tensorflow]
https://github.com/rykov8/ssd_keras [Keras]
https://github.com/sgrvinod/a-PyTorch-Tutorial-to-Object-Detection [PyTorch]
https://github.com/lufficc/SSD [PyTorch]

You Only Look Once: Unified, Real-Time Object Detection (YOLO)
Paper:https://pjreddie.com/media/files/papers/yolo.pdf
https://github.com/gliese581gg/YOLO_tensorflow [Tensorflow]
https://github.com/nilboy/tensorflow-yolo [Tensorflow]
https://github.com/hizhangp/yolo_tensorflow [Tensorflow]
https://github.com/thtrieu/darkflow [Tensorflow + ?]

YOLO9000: Better, Faster, Stronger (YOLO9000)
Paper: https://arxiv.org/pdf/1612.08242.pdf
https://github.com/allanzelener/YAD2K [Keras+Tensorflow]
https://github.com/longcw/yolo2-pytorch [PyTorch]

Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks (Faster R-CNN)
Paper: https://arxiv.org/pdf/1506.01497v3.pdf https://arxiv.org/pdf/1606.03473.pdf
https://github.com/jwyang/faster-rcnn.pytorch [PyTorch]
https://github.com/smallcorgi/Faster-RCNN_TF [Tensorflow]
https://github.com/yhenon/keras-frcnn [Keras]
https://github.com/precedenceguo/mx-rcnn [MxNet]
https://github.com/natanielruiz/dockerface [Caffe + docker]

R-FCN
Paper: https://arxiv.org/pdf/1605.06409.pdf
https://github.com/daijifeng001/R-FCN [Caffe]

OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks (Overfeat)
Paper: https://arxiv.org/pdf/1312.6229.pdf
https://github.com/TensorBox/TensorBox [Tensorflow]

SqueezeDet
Paper: https://arxiv.org/pdf/1612.01051.pdf
https://github.com/BichenWuUCB/squeezeDet [Tensorflow]

PVANet
Paper: https://arxiv.org/pdf/1611.08588.pdf
https://github.com/sanghoon/pva-faster-rcnn [Caffe]

DSOD
Paper: https://arxiv.org/pdf/1708.01241.pdf
https://github.com/szq0214/DSOD [Caffe]

MMOD
https://github.com/jacobgil/dlib_facedetector_pytorch

RefineDet
Paper: https://arxiv.org/pdf/1711.06897.pdf
https://github.com/sfzhang15/RefineDet

PCN [2018]
Paper: https://arxiv.org/pdf/1804.06039.pdf
https://github.com/Jack-CV/PCN-FaceDetection

FaceBoxes [2018]
Paper: https://arxiv.org/pdf/1708.05234.pdf
https://github.com/sfzhang15/FaceBoxes [Caffe]
https://github.com/zeusees/FaceBoxes [Caffe]
https://github.com/TropComplique/FaceBoxes-tensorflow [Tensorflow]

S3FD [2017]
Paper: https://arxiv.org/pdf/1708.05237.pdf
https://github.com/kiselev1189/face-detector-s3fd [PyTorch]

FCOS [2019]
Paper: https://arxiv.org/pdf/1904.01355.pdf
https://github.com/tianzhi0549/FCOS [PyTorch]

DSFD [2019]
Paper: https://arxiv.org/pdf/1810.10220.pdf
https://github.com/TencentYoutuResearch/FaceDetection-DSFD [PyTorch]
https://github.com/hukkelas/DSFD-Pytorch-Inference [PyTorch]

FPN [2017]
Paper: https://arxiv.org/pdf/1612.03144.pdf
https://github.com/DetectionTeamUCAS/FPN_Tensorflow [Tensorflow]

LFFD [2019]
Paper: https://arxiv.org/pdf/1904.10633.pdf
https://github.com/YonghaoHe/A-Light-and-Fast-Face-Detector-for-Edge-Devices

RetinaFace [2019]
Paper: https://arxiv.org/pdf/1905.00641.pdf
https://github.com/biubug6/Pytorch_Retinaface [PyTorch]
https://github.com/deepinsight/insightface/tree/master/RetinaFace [MxNet]

OS2D [2020]
Paper: https://arxiv.org/pdf/2003.06800.pdf
https://github.com/aosokin/os2d

DBFace
https://github.com/dlunion/DBFace

To look at:

https://github.com/Linzaer/Ultra-Light-Fast-Generic-Face-Detector-1MB
https://github.com/mahyarnajibi/SSH
https://github.com/peiyunh/tiny
https://github.com/chinakook/hr101_mxnet
https://github.com/cydonia999/Tiny_Faces_in_Tensorflow
https://github.com/alexattia/ExtendedTinyFaces
https://github.com/kuangliu/pytorch-retinanet
https://github.com/kuangliu/pytorch-fpn
https://github.com/xiaohaoChen/rrc_detection
https://github.com/tensorflow/models/tree/master/object_detection
https://github.com/Smorodov/Deep-learning-object-detection-links.
https://github.com/amusi/awesome-object-detection
https://github.com/bharatsingh430/soft-nms
https://github.com/sciencefans/RSA-for-object-detection
https://github.com/unsky/focal-loss
https://github.com/fizyr/keras-retinanet
https://github.com/deepinsight/insightface
https://github.com/facebookresearch/Detectron
https://github.com/hoya012/deep_learning_object_detection
https://github.com/TuSimple/simpledet
https://github.com/open-mmlab/mmdetection
https://github.com/facebookresearch/detectron2
https://github.com/VCBE123/AnchorFreeDetection

Metrics:

https://github.com/rafaelpadilla/Object-Detection-Metrics

Evaluation code:

https://github.com/Cartucho/mAP
https://github.com/ahrnbom/ensemble-objdet/blob/master/ensemble.py
https://github.com/ZFTurbo/Weighted-Boxes-Fusion
https://github.com/bes-dev/mean_average_precision

Benchmarks:

https://github.com/nodefluxio/face-detector-benchmark

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CNN detector evaluation