目标检测(ObjectDetection)算法合集_目标检测资源-CSDN文库

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2018/8/27 目标检测(Object Detection)算法合集（持续更新ing） - CSDN博客
https://blog.csdn.net/amusi1994/article/details/81042923#yolov3 1/20
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目标检测(Object Detection)算法合集（持续更新ing）
2018年07月14日 13:38:47  阅读数：475  标签：   深度学习 机器学习 目标检测 卷积神经网络  更多
版权声明：本文为阿木寺的原创文章，未经本人允许不得转载。 https://blog.csdn.net/am us i1994/article/details/81042923
想了解最新的目标检测算法，详见 awesome-object-detection
Object Detection
Papers&Codes
R-CNN
Fast R-CNN
Faster R-CNN
Light-Head R-CNN
Cascade R-CNN
SPP-Net
YOLO
YOLOv2
YOLOv3
YOLT
SSD
DSSD
FSSD
ESSD
MDSSD
Pelee
Fire SSD
R-FCN
FPN
DSOD
RetinaNet
MegDet
RefineNet
DetNet
SSOD
3D Object Detection
ZSD
OSD
2018
Object Detection
想了解最新的目标检测算法，详见 awesome-object-detection
This is a list of awesome articles about object detection.
R-CNN
Fast R-CNN
Faster R-CNN
Light-Head R-CNN
Cascade R-CNN
SPP-Net
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2018/8/27 目标检测(Object Detection)算法合集（持续更新ing） - CSDN博客
https://blog.csdn.net/amusi1994/article/details/81042923#yolov3 3/20
A-Fast-RCNN: Hard Positive Generation via Adversary for Object Detection
intro: CVPR 2017
arxiv: https://arxiv.org/abs/1704.03414
paper: http://abhinavsh.info/papers/pdfs/adversarial_object_detection.pdf
github(Caffe): https://github.com/xiaolonw/adversarial-frcnn
Faster R-CNN
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
intro: NIPS 2015
arxiv: http://arxiv.org/abs/1506.01497
gitxiv: http://www.gitxiv.com/posts/8pfpcvefDYn2gSgXk/faster-r-cnn-towards-real-time-object-detection-with-region
slides: http://web.cs.hacettepe.edu.tr/~aykut/classes/spring2016/bil722/slides/w05-FasterR-CNN.pdf
github(official, Matlab): https://github.com/ShaoqingRen/faster_rcnn
github(Caffe): https://github.com/rbgirshick/py-faster-rcnn
github(MXNet): https://github.com/msracver/Deformable-ConvNets/tree/master/faster_rcnn
github(PyTorch–recommend): https://github.com//jwyang/faster-rcnn.pytorch
github: https://github.com/mitmul/chainer-faster-rcnn
github(Torch):: https://github.com/andreaskoepf/faster-rcnn.torch
github(Torch):: https://github.com/ruotianluo/Faster-RCNN-Densecap-torch
github(TensorFlow): https://github.com/smallcorgi/Faster-RCNN_TF
github(TensorFlow): https://github.com/CharlesShang/TFFRCNN
github(C++ demo): https://github.com/YihangLou/FasterRCNN-Encapsulation-Cplusplus
github(Keras): https://github.com/yhenon/keras-frcnn
github: https://github.com/Eniac-Xie/faster-rcnn-resnet
github(C++): https://github.com/D-X-Y/caffe-faster-rcnn/tree/dev
R-CNN minus R
intro: BMVC 2015
arxiv: http://arxiv.org/abs/1506.06981
Faster R-CNN in MXNet with distributed implementation and data parallelization
github: https://github.com/dmlc/mxnet/tree/master/example/rcnn
Contextual Priming and Feedback for Faster R-CNN
intro: ECCV 2016. Carnegie Mellon University
paper: http://abhinavsh.info/context_priming_feedback.pdf
poster: http://www.eccv2016.org/files/posters/P-1A-20.pdf
An Implementation of Faster RCNN with Study for Region Sampling
intro: Technical Report, 3 pages. CMU
arxiv: https://arxiv.org/abs/1702.02138
github: https://github.com/endernewton/tf-faster-rcnn
Interpretable R-CNN
intro: North Carolina State University & Alibaba
keywords: AND-OR Graph (AOG)
arxiv: https://arxiv.org/abs/1711.05226
Light-Head R-CNN
Light-Head R-CNN: In Defense of Two-Stage Object Detector
intro: Tsinghua University & Megvii Inc
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2018/8/27 目标检测(Object Detection)算法合集（持续更新ing） - CSDN博客
https://blog.csdn.net/amusi1994/article/details/81042923#yolov3 4/20
arxiv: https://arxiv.org/abs/1711.07264
github(offical): https://github.com/zengarden/light_head_rcnn
github: https://github.com/terrychenism/Deformable-ConvNets/blob/master/rfcn/symbols/resnet_v1_101_rfcn_light.py#L784
Cascade R-CNN
Cascade R-CNN: Delving into High Quality Object Detection
arxiv: https://arxiv.org/abs/1712.00726
github: https://github.com/zhaoweicai/cascade-rcnn
SPP-Net
Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition
intro: ECCV 2014 / TPAMI 2015
arxiv: http://arxiv.org/abs/1406.4729
github: https://github.com/ShaoqingRen/SPP_net
notes: http://zhangliliang.com/2014/09/13/paper-note-sppnet/
DeepID-Net: Deformable Deep Convolutional Neural Networks for Object Detection
intro: PAMI 2016
intro: an extension of R-CNN. box pre-training, cascade on region proposals, deformation layers and context representations
project page: http://www.ee.cuhk.edu.hk/%CB%9Cwlouyang/projects/imagenetDeepId/index.html
arxiv: http://arxiv.org/abs/1412.5661
Object Detectors Emerge in Deep Scene CNNs
intro: ICLR 2015
arxiv: http://arxiv.org/abs/1412.6856
paper: https://www.robots.ox.ac.uk/~vgg/rg/papers/zhou_iclr15.pdf
paper: https://people.csail.mit.edu/khosla/papers/iclr2015_zhou.pdf
slides: http://places.csail.mit.edu/slide_iclr2015.pdf
segDeepM: Exploiting Segmentation and Context in Deep Neural Networks for Object Detection
intro: CVPR 2015
project(code+data): https://www.cs.toronto.edu/~yukun/segdeepm.html
arxiv: https://arxiv.org/abs/1502.04275
github: https://github.com/YknZhu/segDeepM
Object Detection Networks on Convolutional Feature Maps
intro: TPAMI 2015
keywords: NoC
arxiv: http://arxiv.org/abs/1504.06066
Improving Object Detection with Deep Convolutional Networks via Bayesian Optimization and Structured Prediction
arxiv: http://arxiv.org/abs/1504.03293
slides: http://www.ytzhang.net/files/publications/2015-cvpr-det-slides.pdf
github: https://github.com/YutingZhang/fgs-obj
DeepBox: Learning Objectness with Convolutional Networks
keywords: DeepBox
arxiv: http://arxiv.org/abs/1505.02146
github: https://github.com/weichengkuo/DeepBox
YOLO
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