
目标检测
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【目标检测】RCNN (Rich feature hierarchies for accurate object detection and semantic segmentation)
Girshick, Ross, et al. “[Rich feature hierarchies for accurate object detection and semantic segmentation.](../R-CNN (Rich feature hierarchies for accurate object detection and semantic segmentatio...原创 2018-04-08 00:27:15 · 2009 阅读 · 0 评论 -
【目标检测】SPP-Net (Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition)
K. He, X. Zhang, S. Ren, and J. Sun. Spatial pyramid pooling in deep convolutional networks for visual recognition. In ECCV, 2014. Kaiming的这篇paper,是在R-CNN的基础上提出了空间金字塔变换层(Spatial Pyramid Pooling)...转载 2018-04-12 19:24:59 · 10130 阅读 · 5 评论 -
【目标检测】Fast RCNN算法详解
Girshick, Ross. “Fast r-cnn.” Proceedings of the IEEE International Conference on Computer Vision. 2015.继2014年的RCNN, SPP-Net,Ross Girshick在15年推出Fast RCNN,构思精巧,流程更为紧凑,大幅提升了目标检测的速度。在Github上提供了源码。...原创 2018-04-12 20:56:26 · 3170 阅读 · 0 评论 -
【目标检测】Faster RCNN算法详解
Ren, Shaoqing, et al. “Faster R-CNN: Towards real-time object detection with region proposal networks.” Advances in Neural Information Processing Systems. 2015.本文是继RCNN[1],fast RCNN[2]之后,目标检测界的领...原创 2018-04-24 14:04:21 · 1384 阅读 · 0 评论 -
Contrastive Loss 对比损失函数及梯度的计算
Contrastive loss 最初源于 Yann LeCun “Dimensionality Reduction by Learning an Invariant Mapping” CVPR 2016。 该损失函数主要是用于降维中,即本来相似的样本,在经过降维(特征提取)后,在特征空间中,两个样本仍旧相似;而原本不相似的样本,在经过降维后,在特征空间中,两个样本仍旧不相似。同样,...原创 2018-07-26 16:09:20 · 21380 阅读 · 4 评论