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Title: GitHub - zoeming/deep_learning_object_detection: A paper list of object detection using deep learning.

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Description: A paper list of object detection using deep learning. - zoeming/deep_learning_object_detection

Open Graph Description: A paper list of object detection using deep learning. - zoeming/deep_learning_object_detection

X Description: A paper list of object detection using deep learning. - zoeming/deep_learning_object_detection

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lee.hoseong@sualab.com

Opengraph URL: https://github.com/zoeming/deep_learning_object_detection

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Performance tablehttps://github.com/hoya012/deep_learning_object_detection/blob/master/README.md#performance-table
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https://patch-diff.githubusercontent.com/zoeming/deep_learning_object_detection#2014
[pdf]https://arxiv.org/pdf/1311.2524.pdf
[official code - caffe]https://github.com/rbgirshick/rcnn
[pdf]https://arxiv.org/pdf/1312.6229.pdf
[official code - torch]https://github.com/sermanet/OverFeat
[pdf]https://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Erhan_Scalable_Object_Detection_2014_CVPR_paper.pdf
[pdf]https://arxiv.org/pdf/1406.4729.pdf
[official code - caffe]https://github.com/ShaoqingRen/SPP_net
[unofficial code - keras]https://github.com/yhenon/keras-spp
[unofficial code - tensorflow]https://github.com/peace195/sppnet
https://patch-diff.githubusercontent.com/zoeming/deep_learning_object_detection#2015
[pdf]https://arxiv.org/pdf/1504.03293.pdf
[official code - matlab]https://github.com/YutingZhang/fgs-obj
[pdf]https://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Gidaris_Object_Detection_via_ICCV_2015_paper.pdf
[official code - caffe]https://github.com/gidariss/mrcnn-object-detection
[pdf]https://arxiv.org/pdf/1505.02146.pdf
[official code - caffe]https://github.com/weichengkuo/DeepBox
[pdf]https://arxiv.org/pdf/1506.07704.pdf
[pdf]https://arxiv.org/pdf/1504.08083.pdf
[official code - caffe]https://github.com/rbgirshick/fast-rcnn
[pdf]https://arxiv.org/pdf/1510.04445.pdf
[official code - matconvnet]https://github.com/aghodrati/deepproposal
[pdf]https://papers.nips.cc/paper/5638-faster-r-cnn-towards-real-time-object-detection-with-region-proposal-networks.pdf
[official code - caffe]https://github.com/rbgirshick/py-faster-rcnn
[unofficial code - tensorflow]https://github.com/endernewton/tf-faster-rcnn
[unofficial code - pytorch]https://github.com/jwyang/faster-rcnn.pytorch
https://patch-diff.githubusercontent.com/zoeming/deep_learning_object_detection#2016
[pdf]https://arxiv.org/pdf/1506.02640.pdf
[official code - c]https://pjreddie.com/darknet/yolo/
[pdf]https://arxiv.org/pdf/1512.07729.pdf
[pdf]https://arxiv.org/pdf/1512.07711.pdf
[pdf]https://arxiv.org/pdf/1512.04143.pdf
[pdf]https://arxiv.org/pdf/1604.00600.pdf
[pdf]https://arxiv.org/pdf/1604.03540.pdf
[official code - caffe]https://github.com/abhi2610/ohem
[pdf]https://arxiv.org/pdf/1604.03239.pdf
[official code - caffe]https://github.com/byangderek/CRAFT
[pdf]https://arxiv.org/pdf/1604.02135.pdf
[official code - torch]https://github.com/facebookresearch/multipathnet
[pdf]https://arxiv.org/pdf/1512.02325.pdf
[official code - caffe]https://github.com/weiliu89/caffe/tree/ssd
[unofficial code - tensorflow]https://github.com/balancap/SSD-Tensorflow
[unofficial code - pytorch]https://github.com/amdegroot/ssd.pytorch
[pdf]https://arxiv.org/pdf/1610.02579.pdf
[official code - caffe]https://github.com/craftGBD/craftGBD
[pdf]https://pdfs.semanticscholar.org/40e7/4473cb82231559cbaeaa44989e9bbfe7ec3f.pdf
[pdf]https://arxiv.org/pdf/1607.07155.pdf
[official code - caffe]https://github.com/zhaoweicai/mscnn
[pdf]https://arxiv.org/pdf/1605.06409.pdf
[official code - caffe]https://github.com/daijifeng001/R-FCN
[unofficial code - caffe]https://github.com/YuwenXiong/py-R-FCN
[pdf]https://arxiv.org/pdf/1608.08021.pdf
[official code - caffe]https://github.com/sanghoon/pva-faster-rcnn
[pdf]https://arxiv.org/pdf/1412.5661.pdf
[pdf]https://arxiv.org/pdf/1504.06066.pdf
https://patch-diff.githubusercontent.com/zoeming/deep_learning_object_detection#2017
[pdf]https://arxiv.org/pdf/1701.06659.pdf
[official code - caffe]https://github.com/chengyangfu/caffe/tree/dssd
[pdf]https://arxiv.org/pdf/1612.06851.pdf
[pdf]http://openaccess.thecvf.com/content_cvpr_2017/papers/Lin_Feature_Pyramid_Networks_CVPR_2017_paper.pdf
[unofficial code - caffe]https://github.com/unsky/FPN
[pdf]https://arxiv.org/pdf/1612.08242.pdf
[official code - c]https://pjreddie.com/darknet/yolo/
[unofficial code - caffe]https://github.com/quhezheng/caffe_yolo_v2
[unofficial code - tensorflow]https://github.com/nilboy/tensorflow-yolo
[unofficial code - tensorflow]https://github.com/sualab/object-detection-yolov2
[unofficial code - pytorch]https://github.com/longcw/yolo2-pytorch
[pdf]https://arxiv.org/pdf/1707.01691.pdf
[official code - caffe]https://github.com/taokong/RON
[unofficial code - tensorflow]https://github.com/HiKapok/RON_Tensorflow
[pdf]https://arxiv.org/pdf/1707.09531.pdf
[official code - caffe]https://github.com/sciencefans/RSA-for-object-detection
[pdf]http://openaccess.thecvf.com/content_ICCV_2017/papers/Dai_Deformable_Convolutional_Networks_ICCV_2017_paper.pdf
[official code - mxnet]https://github.com/msracver/Deformable-ConvNets
[unofficial code - tensorflow]https://github.com/Zardinality/TF_Deformable_Net
[unofficial code - pytorch]https://github.com/oeway/pytorch-deform-conv
[pdf]https://arxiv.org/pdf/1703.10295.pdf
[official code - theano]https://github.com/lachlants/denet
[pdf]https://arxiv.org/pdf/1708.02863.pdf
[official code - caffe]https://github.com/tshizys/CoupleNet
[pdf]https://arxiv.org/pdf/1708.02002.pdf
[official code - keras]https://github.com/fizyr/keras-retinanet
[unofficial code - pytorch]https://github.com/kuangliu/pytorch-retinanet
[unofficial code - mxnet]https://github.com/unsky/RetinaNet
[unofficial code - tensorflow]https://github.com/tensorflow/tpu/tree/master/models/official/retinanet
[pdf]http://openaccess.thecvf.com/content_ICCV_2017/papers/He_Mask_R-CNN_ICCV_2017_paper.pdf
[official code - caffe2]https://github.com/facebookresearch/Detectron
[unofficial code - tensorflow]https://github.com/matterport/Mask_RCNN
[unofficial code - tensorflow]https://github.com/CharlesShang/FastMaskRCNN
[unofficial code - pytorch]https://github.com/multimodallearning/pytorch-mask-rcnn
[pdf]https://arxiv.org/pdf/1708.01241.pdf
[official code - caffe]https://github.com/szq0214/DSOD
[unofficial code - pytorch]https://github.com/uoip/SSD-variants
[pdf]http://openaccess.thecvf.com/content_ICCV_2017/papers/Chen_Spatial_Memory_for_ICCV_2017_paper.pdf
[pdf]https://arxiv.org/pdf/1711.07264.pdf
[official code - tensorflow]https://github.com/zengarden/light_head_rcnn
[pdf]https://arxiv.org/pdf/1704.04503.pdf
[official code - caffe]https://github.com/bharatsingh430/soft-nms
https://patch-diff.githubusercontent.com/zoeming/deep_learning_object_detection#2018
[pdf]https://pjreddie.com/media/files/papers/YOLOv3.pdf
[official code - c]https://pjreddie.com/darknet/yolo/
[unofficial code - pytorch]https://github.com/ayooshkathuria/pytorch-yolo-v3
[unofficial code - pytorch]https://github.com/eriklindernoren/PyTorch-YOLOv3
[unofficial code - keras]https://github.com/qqwweee/keras-yolo3
[unofficial code - tensorflow]https://github.com/mystic123/tensorflow-yolo-v3
[pdf]https://arxiv.org/pdf/1702.05711.pdf
[official code - caffe]https://github.com/hli2020/zoom_network
[pdf]http://openaccess.thecvf.com/content_cvpr_2018/papers/Liu_Structure_Inference_Net_CVPR_2018_paper.pdf
[official code - tensorflow]https://github.com/choasup/SIN
[pdf]http://openaccess.thecvf.com/content_cvpr_2018/papers/Zhou_Scale-Transferrable_Object_Detection_CVPR_2018_paper.pdf
[pdf]http://openaccess.thecvf.com/content_cvpr_2018/papers/Zhang_Single-Shot_Refinement_Neural_CVPR_2018_paper.pdf
[official code - caffe]https://github.com/sfzhang15/RefineDet
[unofficial code - chainer]https://github.com/fukatani/RefineDet_chainer
[unofficial code - pytorch]https://github.com/lzx1413/PytorchSSD
[pdf]http://openaccess.thecvf.com/content_cvpr_2018/papers/Peng_MegDet_A_Large_CVPR_2018_paper.pdf
[pdf]http://openaccess.thecvf.com/content_cvpr_2018/papers/Chen_Domain_Adaptive_Faster_CVPR_2018_paper.pdf
[official code - caffe]https://github.com/yuhuayc/da-faster-rcnn
[pdf]https://arxiv.org/pdf/1711.08189.pdf
[pdf]https://arxiv.org/pdf/1711.11575.pdf
[official code - mxnet]https://github.com/msracver/Relation-Networks-for-Object-Detection
[pdf]http://openaccess.thecvf.com/content_cvpr_2018/papers/Cai_Cascade_R-CNN_Delving_CVPR_2018_paper.pdf
[official code - caffe]https://github.com/zhaoweicai/cascade-rcnn
[pdf]https://ivul.kaust.edu.sa/Documents/Publications/2018/Finding%20Tiny%20Faces%20in%20the%20Wild%20with%20Generative%20Adversarial%20Network.pdf
[pdf]https://arxiv.org/pdf/1804.00428.pdf
[official code - caffe]https://github.com/Hwang64/MLKP
[pdf]https://arxiv.org/pdf/1803.11365.pdf
[official code - chainer]https://github.com/naoto0804/cross-domain-detection
[pdf]http://openaccess.thecvf.com/content_cvpr_2018/CameraReady/0794.pdf
[pdf]http://bmvc2018.org/contents/papers/0897.pdf
[pdf]https://arxiv.org/pdf/1711.07767.pdf
[official code - pytorch]https://github.com/ruinmessi/RFBNet
[pdf]http://openaccess.thecvf.com/content_ECCV_2018/papers/Qingyi_Tao_Zero-Annotation_Object_Detection_ECCV_2018_paper.pdf
[pdf]https://arxiv.org/pdf/1808.01244.pdf
[official code - pytorch]https://github.com/princeton-vl/CornerNet
[pdf]http://openaccess.thecvf.com/content_ECCV_2018/papers/Seung-Wook_Kim_Parallel_Feature_Pyramid_ECCV_2018_paper.pdf
[pdf]https://arxiv.org/pdf/1809.08545.pdf
[pdf]https://arxiv.org/pdf/1804.05810.pdf
[official code - tensorflow]https://github.com/shangtse/robust-physical-attack
[pdf]http://papers.nips.cc/paper/7466-pelee-a-real-time-object-detection-system-on-mobile-devices.pdf
[official code - caffe]https://github.com/Robert-JunWang/Pelee
[pdf]http://papers.nips.cc/paper/7428-hybrid-knowledge-routed-modules-for-large-scale-object-detection.pdf
[pdf]http://papers.nips.cc/paper/7315-metaanchor-learning-to-detect-objects-with-customized-anchors.pdf
[pdf]http://papers.nips.cc/paper/8143-sniper-efficient-multi-scale-training.pdf
https://patch-diff.githubusercontent.com/zoeming/deep_learning_object_detection#2019
[pdf]https://arxiv.org/pdf/1811.04533.pdf
[pdf]https://arxiv.org/pdf/1901.08225v1.pdf
[pdf]https://openreview.net/pdf?id=SJgEl3A5tm
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this survey paperhttps://arxiv.org/pdf/1809.02165v1.pdf
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[pdf]http://host.robots.ox.ac.uk/pascal/VOC/pubs/everingham10.pdf
[pdf]http://host.robots.ox.ac.uk/pascal/VOC/pubs/everingham15.pdf
[link]http://host.robots.ox.ac.uk/pascal/VOC/
[pdf]http://www.image-net.org/papers/imagenet_cvpr09.pdf
[pdf]https://arxiv.org/pdf/1409.0575.pdf
[link]http://www.image-net.org/challenges/LSVRC/
[pdf]https://arxiv.org/pdf/1405.0312.pdf
[link]http://cocodataset.org/
[pdf]https://arxiv.org/pdf/1811.00982v1.pdf
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