Transfer Learning
Papers of interest¶
- How transferable are features in deep neural networks http://arxiv.org/abs/1411.1792
- Compact bilinear pooling http://arxiv.org/pdf/1511.06062.pdf
- On learning where to look http://www.cs.toronto.edu/~ranzato/publications/ranzato_arxiv14.pdf
- From Generic to Specific Deep Representations for Visual Recognition http://www.cv-foundation.org/openaccess/content_cvpr_workshops_2015/W03/html/Azizpour_From_Generic_to_2015_CVPR_paper.html
- Compression Artifacts Reduction by a Deep Convolutional Network http://www.cv-foundation.org/openaccess/content_iccv_2015/html/Dong_Compression_Artifacts_Reduction_ICCV_2015_paper.html
- Local Convolutional Features With Unsupervised Training for Image Retrieval http://www.cv-foundation.org/openaccess/content_iccv_2015/html/Paulin_Local_Convolutional_Features_ICCV_2015_paper.html