Training Region-based Object Detectors with Online Hard Example Mining - cvpr 2016 oral - 代码天地

Training Region-based Object Detectors with Online Hard Example Mining - cvpr 2016 oral

企业开发 2019-03-31 04:40:50 阅读次数: 0

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转载自blog.csdn.net/xuanyoumeng/article/details/51318058

Training Region-based Object Detectors with Online Hard Example Mining - cvpr 2016 oral

论文笔记：Training Region-based Object Detectors with Online Hard Example Mining

【OHEM】《Training Region-based Object Detectors with Online Hard Example Mining》

论文笔记 OHEM: Training Region-based Object Detectors with Online Hard Example Mining

Training Faster RCNN with Online Hard Example Mining

【CVPR2016】OHEM--online negative example mining

OHEM(online hard example mining)

困难样本挖掘 online hard example mining

on-line hard example mining in object detection

学习了解online hard example mining在线难例挖掘

「Medical Image Analysis」 Note on Pyramid Network with Online Hard Example Mining

论文笔记OHEM（Online Hard Example Mining）

Online Hard Negative Mining on Pytorch

【论文阅读记录】Unsupervised Hard Example Mining from Videos for Improved Object Detection

【ECCV2018】Unsupervised Hard Example Mining from Videos for Object Detection

anchor_based-anchor_free object detectors

论文速读 -- Automatic Labeling to Generate Training Data for Online LiDAR-based Moving Object Seg

18-Object Region Mining with Adversarial Erasing

focal loss和OHEM(on-line hard example mining)如何应用到faster RCNN中

【自监督论文阅读笔记】Deeply Unsupervised Patch Re-Identification for Pre-training Object Detectors

【Distill 系列：二】CVPR 2019 Distilling Object Detectors with Fine-grained Feature Imitation

什么是hard negative mining

hard negative mining

R-FCN:Object Detection via Region-based Fully Convolutional Networks

中文版 R-FCN: Object Detection via Region-based Fully Convolutional Networks

【R-FCN】《R-FCN: Object Detection via Region-based Fully Convolutional Networks》

R-FCN: Object Detection via Region-based Fully Convolutional Networks

R-FCN:Object Detection via Region-based Fully convolutional Networks && light-head RCNN

[论文理解]Region-Based Convolutional Networks for Accurate Object Detection and Segmentation

(45)[NIPS16] R-FCN: Object Detection via Region-based Fully Convolutional Networks

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