01 Paper会员(CV)精读论文专栏.
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01Paper会员（CV）精读论文专栏资料合集（更新中） - 百度云网盘资源 - 大力盘搜索
|- 30待更新SENet - 0 B
|- 29待更新CenterNet - 0 B
|- 28待更新《Hourglass》 - 0 B
|- 27《CRNN》 - 0 B
|- 26《CTPN Detecting Text in Natural Image with Connectionist Text Proposal Network》 - 0 B
|- 25《Fully-Convolutional Siamese Networks for Object Tracking (SiameseFC) 》 - 0 B
|- 24《GOTURN-Learning to Track at 100 FPS with Deep Regression Networks》 - 0 B
|- 23《FCNT-Visual Tracking with Fully Convolutional Networks 》 - 0 B
|- 22《Online Object Tracking A Benchmark》 - 0 B
|- 21《Linknet Exploiting encoder representations for efficient semantic segmentation》 - 0 B
|- 20《Pyramid scene parsing network》 - 0 B
|- 19《Segnet A deep convolutional encoder-decoder architecture for image segmentation》 - 0 B
|- 18《Deeplab Semantic image segmentation with deep convolutional nets》, - 0 B
|- 17待更新U-Net - 0 B
|- 16《Fully convolutional networks for semantic segmentation》 - 0 B
|- 15 《Facenet A unified embedding for face recognition and clustering（triplet loss）》 - 0 B
|- 14《A Discriminative Feature Learning Approach for Deep Face Recognition(center loss)》 - 0 B
|- 13《Mask R-CNN》 - 0 B
|- 12待更新《Faster R-CNN Towards Real-Time Object Detection with Region Proposal Networks》 - 0 B
|- 11《Region-Based Convolutional Networks for Accurate Object Detection and Segmentation》 - 0 B
|- 10《DSSD》 - 0 B
|- 09《SSD Single Shot MultiBox Detector 》 - 0 B
|- 08待更新《YOLOv3 An Incremental Improvement》 - 0 B
|- 07《You Only Look OnceUnified, Real-Time Object Detection》 - 0 B
|- 06待更新《Focal Loss for Dense Object Detection 》 - 0 B
|- 05《Going deeper with convolutions.》 - 0 B
|- 04《Deep Residual Learning for Image Recognition》 - 0 B
|- 03《Very Deep Convolutional Networks for Large-Scale Image Recognition》 - 0 B
|- 02《ImageNet Classification with Deep Convolutional Neural Network》 - 0 B
|- 01《Deep Learning》 - 0 B
|- 00 若资料和代码错误，请直接联系深度之眼客服更新 - 0 B