Depth CNNs for RGB-D Scene Recognition: Learning From Scratch Better Than Transferring From RGB-CNNs
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D-CNN.part1.rar
D-CNN.part2.rar
README.md
WSP.caffemodel
deploy_D-CNN.prototxt
deploy_WSP.prototxt

README.md

D-CNN

Depth CNNs for RGB-D Scene Recognition: Learning From Scratch Better Than Transferring From RGB-CNNs

This project contains two Caffe CNN models and deploy files, i.e., WSP and D-CNN, which are proposed in the AAAI2017 paper. If you use the pre-trained CNN models, please cite the following paper:

Xinhang Song, Luis Herranz, Shuqiang Jiang. “Depth CNNs for RGB-D scene recognition: learning from scratch better than transferring from RGB-CNNs” Thirty-First AAAI Conference on Artificial Intelligence (2017)