图像识别目标检测必看论文

上传者: zhuyu7253 | 上传时间: 2019-12-21 22:22:22 | 文件大小: 56.27MB | 文件类型: zip
计算机视觉领域目标检测必看论文,包括ResNet,R-CNN,SDD,YOLO等

文件下载

资源详情

[{"title":"( 43 个子文件 56.27MB ) 图像识别目标检测必看论文","children":[{"title":"必看论文","children":[{"title":"YOLO","children":[{"title":"You_Only_Look_CVPR_2016_paper.pdf <span style='color:#111;'> 1.05MB </span>","children":null,"spread":false},{"title":"新建文本文档.txt <span style='color:#111;'> 109B </span>","children":null,"spread":false},{"title":"Learning and Example Selection for Object and Pattern Detection.pdf <span style='color:#111;'> 2.70MB </span>","children":null,"spread":false}],"spread":true},{"title":"Fully Convolutional Networks for Semantic Segmentation2015","children":[{"title":"FCN.pdf <span style='color:#111;'> 2.65MB </span>","children":null,"spread":false}],"spread":true},{"title":"Deep Residual Learning for Image Recognition2016","children":[{"title":"Deep Residual Learning for Image Recognition2016.pdf <span style='color:#111;'> 588.99KB </span>","children":null,"spread":false},{"title":"新建文本文档.txt <span style='color:#111;'> 196B </span>","children":null,"spread":false},{"title":"He_Deep_Residual_Learning_CVPR_2016_paper.pdf <span style='color:#111;'> 290.16KB </span>","children":null,"spread":false},{"title":"b7b071f3e65c97d09720f88d6b0ad9f07e8f.pdf <span style='color:#111;'> 1.10MB </span>","children":null,"spread":false}],"spread":true},{"title":"HyperNet_Towards_Accurate_CVPR_2016_paper","children":[{"title":"新建文本文档.txt <span style='color:#111;'> 187B </span>","children":null,"spread":false},{"title":"Kong_HyperNet_Towards_Accurate_CVPR_2016_paper.pdf <span style='color:#111;'> 548.99KB </span>","children":null,"spread":false}],"spread":true},{"title":"Inside-Outside Net","children":[{"title":"新建文本文档.txt <span style='color:#111;'> 54B </span>","children":null,"spread":false},{"title":"Inside-Outside Net.pdf <span style='color:#111;'> 1.68MB </span>","children":null,"spread":false}],"spread":true},{"title":"Faster R-CNN","children":[{"title":"新建文本文档.txt <span style='color:#111;'> 105B </span>","children":null,"spread":false},{"title":"Faster R-CNN.pdf <span style='color:#111;'> 769.69KB </span>","children":null,"spread":false},{"title":"deconv_iccv_names.pdf <span style='color:#111;'> 4.14MB </span>","children":null,"spread":false}],"spread":true},{"title":"2016.8 PVANET Deep but Lightweight Neural Networks for Real-time Object Detection","children":[{"title":"Deep but Lightweight Neural Networks for real time Object Detection.pdf <span style='color:#111;'> 451.23KB </span>","children":null,"spread":false},{"title":"新建文本文档.txt <span style='color:#111;'> 131B </span>","children":null,"spread":false}],"spread":true},{"title":"G-CNN an Iterative Grid Based Object Detector","children":[{"title":"新建文本文档.txt <span style='color:#111;'> 180B </span>","children":null,"spread":false},{"title":"Najibi_G-CNN_An_Iterative_CVPR_2016_paper.pdf <span style='color:#111;'> 1.88MB </span>","children":null,"spread":false}],"spread":true},{"title":"Spatial pyramid pooling in deep convolutional networks for visual recognition","children":[{"title":"新建文本文档.txt <span style='color:#111;'> 112B </span>","children":null,"spread":false},{"title":"Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition.pdf <span style='color:#111;'> 3.90MB </span>","children":null,"spread":false},{"title":"20161027spp-ne.txt <span style='color:#111;'> 2.00KB </span>","children":null,"spread":false}],"spread":true},{"title":"R-FCN Object Detection via Region-based Fully Convolutional Networks","children":[{"title":"fast R-CNN中的截断奇异值分解.pdf <span style='color:#111;'> 1.50MB </span>","children":null,"spread":false},{"title":"新建文本文档.txt <span style='color:#111;'> 534B </span>","children":null,"spread":false},{"title":"Faster R-CNN.pdf <span style='color:#111;'> 749.28KB </span>","children":null,"spread":false},{"title":"R-FCN Object Detection via Region-based Fully Convolutional Networks.pdf <span style='color:#111;'> 8.51MB </span>","children":null,"spread":false},{"title":"Rich feature hierarchies for accurate object d.pdf <span style='color:#111;'> 1.67MB </span>","children":null,"spread":false},{"title":"Kang_Object_Detection_From_CVPR_2016_paper.pdf <span style='color:#111;'> 2.73MB </span>","children":null,"spread":false},{"title":"Girshick_Fast_R-CNN_ICCV_2015_paper.pdf <span style='color:#111;'> 370.17KB </span>","children":null,"spread":false},{"title":"Rich feature hierarchies for accurate object detection and semantic segmentation.pdf <span style='color:#111;'> 1.63MB </span>","children":null,"spread":false}],"spread":true},{"title":"SSD","children":[{"title":"新建文本文档.txt <span style='color:#111;'> 256B </span>","children":null,"spread":false},{"title":"SSD2.pdf <span style='color:#111;'> 2.39MB </span>","children":null,"spread":false}],"spread":true},{"title":"LocNet Improving Localization Accuracy for Object Detection","children":[{"title":"Edge Boxes-Locating Object Proposals from Edges.pdf <span style='color:#111;'> 2.82MB </span>","children":null,"spread":false},{"title":"LocNet_Improving_Localization_CVPR_2016_paper.pdf <span style='color:#111;'> 1.26MB </span>","children":null,"spread":false},{"title":"Backpropagation applied to handwritten zip code recognition.pdf <span style='color:#111;'> 5.40MB </span>","children":null,"spread":false},{"title":"Caffe: Convolutional Architecture for Fast Feature Embedding.pdf <span style='color:#111;'> 1.40MB </span>","children":null,"spread":false},{"title":"Edge Boxes-Locating Object Proposals from Edge.pdf <span style='color:#111;'> 2.73MB </span>","children":null,"spread":false},{"title":"1511.07763v2.pdf <span style='color:#111;'> 5.01MB </span>","children":null,"spread":false},{"title":"1.txt <span style='color:#111;'> 216B </span>","children":null,"spread":false}],"spread":true},{"title":"Inception-ResNet-v2(最新)","children":[{"title":"新建文本文档.txt <span style='color:#111;'> 108B </span>","children":null,"spread":false},{"title":"Inception-V4——iclr2016_workshop.pdf <span style='color:#111;'> 353.75KB </span>","children":null,"spread":false},{"title":"Inception-V4.pdf <span style='color:#111;'> 935.30KB </span>","children":null,"spread":false},{"title":"1602.07261v2.pdf <span style='color:#111;'> 935.30KB </span>","children":null,"spread":false}],"spread":true}],"spread":false}],"spread":true}]

评论信息

免责申明

【只为小站】的资源来自网友分享,仅供学习研究,请务必在下载后24小时内给予删除,不得用于其他任何用途,否则后果自负。基于互联网的特殊性,【只为小站】 无法对用户传输的作品、信息、内容的权属或合法性、合规性、真实性、科学性、完整权、有效性等进行实质审查;无论 【只为小站】 经营者是否已进行审查,用户均应自行承担因其传输的作品、信息、内容而可能或已经产生的侵权或权属纠纷等法律责任。
本站所有资源不代表本站的观点或立场,基于网友分享,根据中国法律《信息网络传播权保护条例》第二十二条之规定,若资源存在侵权或相关问题请联系本站客服人员,zhiweidada#qq.com,请把#换成@,本站将给予最大的支持与配合,做到及时反馈和处理。关于更多版权及免责申明参见 版权及免责申明