Single image depth estimation by dilated deep residual convolutional neural network and soft-weight-sum inference

“Indoor segmentation and support inference from rgbd images,”

Nathan Silberman, Derek Hoiem, Pushmeet Kohli, and Rob Fergus, · 2012

Earlier work this paper cites.

“Caffe: Convolutional architecture for fast feature embedding,”

Yangqing Jia, Evan Shelhamer, Jeff Donahue, Sergey Karayev, Jonathan Long, Ross Girshick, Sergio Guadarrama, and Trevor Darrell, · 2014

Earlier work this paper cites.

“Depth and surface normal estimation from monocular images using regression on deep features and hierarchical crfs,”

Bo Li, Chunhua Shen, Yuchao Dai, A. van den Hengel, and Mingyi He, · 2015

Earlier work this paper cites.

“Towards unified depth and semantic prediction from a single image,”

Peng Wang, Xiaohui Shen, Zhe Lin, Scott Cohen, Brian Price, and Alan L Yuille, · 2015

Cited alongside, same era.

“Predicting depth, surface normals and semantic labels with a common multi-scale convolutional architecture,”

David Eigen and Rob Fergus, · 2015

Cited alongside, same era.

“Learning depth from single monocular images using deep convolutional neural fields,”

Fayao Liu, Chunhua Shen, Guosheng Lin, and Ian Reid, · 2016

Cited alongside, same era.

“Estimating depth from monocular images as classification using deep fully convolutional residual networks,”

Original

Yuanzhouhan Cao, Zifeng Wu, and Chunhua Shen, · 2016

Later among the works it cites.

“Deep residual learning for image recognition,”

Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun, · 2016

Later among the works it cites.

“Multi-scale context aggregation by dilated convolutions,”

Fisher Yu and Vladlen Koltun, · 2016

Later among the works it cites.