目标检测.pdf

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本文目标

2014: R-CNN - An Early Application of CNNs to Object Detection

2015: Fast R-CNN - Speeding up and Simplifying R-CNN

2016: Faster R-CNN - Speeding Up Region Proposal

2017: Mask R-CNN - Extending Faster R-CNN for Pixel Level Segmentation

源码

CNNR-CNN A Brief History of CNNs in Image Segmentation: From R-CNN to Mask R-CNN FCNFully Convolutional Network | AthelasConvolutional Neural NetworksCNNs CNNs Alex Krizhevsky, Geoﬀ Hinton, and Ilya SutskeverImageNet 2012CNNs CNNsImageNet 1 ImageNetCNNsYImageNet

2 2 3

4 [1703.06870] Mask R-CNN CNNs CNNsRoss Girshick R- CNNRegional CNNCNNsFast R-CNNFaster R- CNNFacebook ResearchMask R-CNN 1. R-CNN: [1311.2524] Rich feature hierarchies for accurate object detection and semantic segmentation 2. Fast R-CNN: [1504.08083] Fast R-CNN 3. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks 4. Mask R-CNN: [1703.06870] Mask R-CNN 2014: R-CNN - An Early Application of CNNs to Object Detection

5 R-CNN TorontoHintonUC BerkeleyJitendra Malik Krizhevsky 5Ross Girshick (a name we’ll see again)Jeﬀ DonahueTrevor DarrelKrizhevsky PASCAL VOCImageNet PASCAL VOCCNNs HOG Regions CNNsR-CNN R-CNN R-CNNbounding box Bounding Box+ bounding boxR-CNNbox box

6 Selective Search https://www.koen.me/research/pub/uijlings-ijcv2013-draft.pdf R-CNNSelective Searchregion proposalsSelective Search 6 7 region proposalsR-CNNAlexNetregion proposals region [1311.2524] Rich feature hierarchies for accurate object detection and semantic segmentation region proposalsR-CNNAlexNet region7 CNNR-CNNSupport Vector MachineSVM Bounding Box Boxtighten bounding box R-CNNR-CNNregion proposalstightenBounding Box sub-regions

sub-resionsBounding Box R-CNN 1. regions proposalsBounding Box 2. AlexNet+SVMBouding Box 3. Bounding BoxBoxtighter bounding boxes 2015: Fast R-CNN - Speeding up and Simplifying R-CNN R-CNN 1. region proposalCNNAlexNet 2000CNN 2. ——CNNtighten bounding box 2015R-CNNRoss GirshickFast R-CNN Fast R-CNN RoIRegion of InterestPooling Ross Girshickproposed regionsCNN 2000——CNN2000proposed regions 8 RoIPoolCNNregion Stanford’s CS231N slides by Fei Fei Li, Andrei Karpathy, and Justin Johnson Fast R-CNNRoIPoolRegion of Interest PoolingRoIPool CNNregions8CNNCNN poolmax poolingCNNR-CNN2000 Combine All Models into One Network

9 Fast R-CNNCNN https://www.slideshare.net/simplyinsimple/detection-52781995 Fast R-CNNCNNR-CNN CNNSVMtightenFast R- CNN 9Fast R-CNNsoftmax layerSVMCNN softmax layerlinear regression layer region proposals tighter bounding boxes 2016: Faster R-CNN - Speeding Up Region Proposal Fast R-CNN——region proposer bouding boxregions of interestFast R-CNNSelective Search 2015Shaoqing Ren, Kaiming He, Ross Girshick, and Jian Sun Faster R-CNNregion proposal Faster R-CNNregion proposalsCNN CNNregion proposals selective search

10 Faster R-CNNCNNregion proposalsTowards Real-Time Object Detection with Region Proposal Networks Faster R-CNN10CNNregion proposals CNNregion proposals Fast R-CNNregion proposalsregion proposals region proposals bounding box How the Regions are Generated Faster R-CNNCNNregion proposalsFaster R-CNNCNN Region Proposal Network.

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