Student Becoming the Master: Knowledge Amalgamation for Joint Scene Parsing, Depth Estimation, and More
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Mingli Song | Dapeng Tao | Xinchao Wang | Kairi Ou | Jingwen Ye | Yixin Ji | Xinchao Wang | Dapeng Tao | Mingli Song | Yixin Ji | Jingwen Ye | Kairi Ou
[1] Nassir Navab,et al. Deeper Depth Prediction with Fully Convolutional Residual Networks , 2016, 2016 Fourth International Conference on 3D Vision (3DV).
[2] Bo Li,et al. Monocular Depth Estimation with Hierarchical Fusion of Dilated CNNs and Soft-Weighted-Sum Inference , 2017, Pattern Recognit..
[3] Rob Fergus,et al. Depth Map Prediction from a Single Image using a Multi-Scale Deep Network , 2014, NIPS.
[4] Ashutosh Saxena,et al. Learning 3-D Scene Structure from a Single Still Image , 2007, 2007 IEEE 11th International Conference on Computer Vision.
[5] Oisin Mac Aodha,et al. Unsupervised Monocular Depth Estimation with Left-Right Consistency , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[6] Ashutosh Saxena,et al. Make3D: Learning 3D Scene Structure from a Single Still Image , 2009, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[7] Sebastian Ramos,et al. The Cityscapes Dataset for Semantic Urban Scene Understanding , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[8] Sanja Fidler,et al. Holistic 3D scene understanding from a single geo-tagged image , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[9] Dieter Fox,et al. RGB-(D) scene labeling: Features and algorithms , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.
[10] Xiaogang Wang,et al. Pyramid Scene Parsing Network , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[11] Rob Fergus,et al. Predicting Depth, Surface Normals and Semantic Labels with a Common Multi-scale Convolutional Architecture , 2014, 2015 IEEE International Conference on Computer Vision (ICCV).
[12] Nicu Sebe,et al. PAD-Net: Multi-tasks Guided Prediction-and-Distillation Network for Simultaneous Depth Estimation and Scene Parsing , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[13] Leonidas J. Guibas,et al. Taskonomy: Disentangling Task Transfer Learning , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[14] Richard Szeliski,et al. High-accuracy stereo depth maps using structured light , 2003, 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings..
[15] Li Sun,et al. Amalgamating Knowledge towards Comprehensive Classification , 2018, AAAI.
[16] Tom Drummond,et al. Fast Residual Forests: Rapid Ensemble Learning for Semantic Segmentation , 2017, CoRL.
[17] Ian D. Reid,et al. Light-Weight RefineNet for Real-Time Semantic Segmentation , 2018, BMVC.
[18] Kyoung Mu Lee,et al. Joint Estimation of Camera Pose, Depth, Deblurring, and Super-Resolution from a Blurred Image Sequence , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[19] Geoffrey E. Hinton,et al. Distilling the Knowledge in a Neural Network , 2015, ArXiv.
[20] Andrew Zisserman,et al. Very Deep Convolutional Networks for Large-Scale Image Recognition , 2014, ICLR.
[21] Nicu Sebe,et al. Multi-scale Continuous CRFs as Sequential Deep Networks for Monocular Depth Estimation , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[22] Wei Liu,et al. ParseNet: Looking Wider to See Better , 2015, ArXiv.
[23] Zunlei Feng,et al. Finer-Net: Cascaded Human Parsing with Hierarchical Granularity , 2018, 2018 IEEE International Conference on Multimedia and Expo (ICME).
[24] Jian Sun,et al. Identity Mappings in Deep Residual Networks , 2016, ECCV.
[25] Derek Hoiem,et al. Indoor Segmentation and Support Inference from RGBD Images , 2012, ECCV.
[26] Ramakant Nevatia,et al. Knowledge Concentration: Learning 100K Object Classifiers in a Single CNN , 2017, ArXiv.
[27] Geoffrey E. Hinton,et al. ImageNet classification with deep convolutional neural networks , 2012, Commun. ACM.
[28] Andreas Geiger,et al. Are we ready for autonomous driving? The KITTI vision benchmark suite , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.
[29] Tony X. Han,et al. Learning Efficient Object Detection Models with Knowledge Distillation , 2017, NIPS.
[30] Frédéric Jurie,et al. An Adversarial Regularisation for Semi-Supervised Training of Structured Output Neural Networks , 2017, NIPS 2017.
[31] Gustavo Carneiro,et al. Unsupervised CNN for Single View Depth Estimation: Geometry to the Rescue , 2016, ECCV.
[32] Ronan Collobert,et al. Learning to Segment Object Candidates , 2015, NIPS.
[33] Ian D. Reid,et al. RefineNet: Multi-path Refinement Networks for High-Resolution Semantic Segmentation , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[34] Ashutosh Saxena,et al. Learning Depth from Single Monocular Images , 2005, NIPS.
[35] Junmo Kim,et al. A Gift from Knowledge Distillation: Fast Optimization, Network Minimization and Transfer Learning , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[36] Jean-Yves Guillemaut,et al. Space-Time Joint Multi-layer Segmentation and Depth Estimation , 2012, 2012 Second International Conference on 3D Imaging, Modeling, Processing, Visualization & Transmission.
[37] Camille Couprie,et al. Semantic Segmentation using Adversarial Networks , 2016, NIPS 2016.
[38] Roberto Cipolla,et al. SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation , 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[39] Ronan Collobert,et al. Learning to Refine Object Segments , 2016, ECCV.
[40] Jana Kosecka,et al. Joint Semantic Segmentation and Depth Estimation with Deep Convolutional Networks , 2016 .
[41] Kaiming He,et al. Mask R-CNN , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[42] Yoshua Bengio,et al. FitNets: Hints for Thin Deep Nets , 2014, ICLR.
[43] Jitendra Malik,et al. Learning Rich Features from RGB-D Images for Object Detection and Segmentation , 2014, ECCV.
[44] Guosheng Lin,et al. Deep convolutional neural fields for depth estimation from a single image , 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[45] Mubarak Shah,et al. Semi and Weakly Supervised Semantic Segmentation Using Generative Adversarial Network , 2017, ArXiv.
[46] Enhua Wu,et al. Squeeze-and-Excitation Networks , 2017, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[47] Kai Yu,et al. Knowledge Distillation for Sequence Model , 2018, INTERSPEECH.