深度学习模型或者相关概念的论文出处(持续更新中...)

1.VGG

《Very deep convolutional networks for large-scale image recognition》ICLR,2015

2.FCN

《Fully convolutional networks for semantic segmentation》CVPR,2015

3.OverFeat

《Overfeat: Integrated recognition, localization and detection using convolutional networks》ICLR,2014

4.Attention Mechanism(注意力机制)

《Attention-based models for speech recognition》NIPS,2015

5.RPN

《Faster R-CNN: Towards real-time object detection with region proposal networks》NIPS,2015

6.DenseNet

《Densely connected convolutional networks》2017

7.Caffe

《Caffe: An open source convolutional architecture for fast feature embedding》2013

8.Edge Boxes

《Edge boxes: Locating object proposals from edges》ECCV,2014

9.DeepMask

《Learning to segment object candidates》NIPS,2015

10.ResNet

《Deep Residual Learning for Image Recognition》CVPR,2016

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转载自blog.csdn.net/gaolijing_/article/details/104856383
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