SDC - Stacked Dilated Convolution: A Unified Descriptor Network for Dense Matching Tasks

5 April 2019

Oliver Wasenmüller

Papers citing "SDC - Stacked Dilated Convolution: A Unified Descriptor Network for Dense Matching Tasks"

21 / 21 papers shown

Title
Revisiting Dilated Convolution: A Simple Approach for Weakly- and Semi- Supervised Semantic Segmentation Yunchao Wei Huaxin Xiao Humphrey Shi Zequn Jie Jiashi Feng Thomas S. Huang SSeg 80 544 0 11 May 2018
FlowFields++: Accurate Optical Flow Correspondences Meet Robust Interpolation René Schuster C. Bailer Oliver Wasenmüller D. Stricker 46 22 0 09 May 2018
CSRNet: Dilated Convolutional Neural Networks for Understanding the Highly Congested Scenes Yuhong Li Xiaofan Zhang Deming Chen 125 1,334 0 27 Feb 2018
Combining Stereo Disparity and Optical Flow for Basic Scene Flow René Schuster C. Bailer Oliver Wasenmüller D. Stricker 3DPC 31 25 0 15 Jan 2018
SceneFlowFields: Dense Interpolation of Sparse Scene Flow Correspondences René Schuster Oliver Wasenmüller G. Kuschk C. Bailer D. Stricker 42 38 0 27 Oct 2017
PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume Deqing Sun Xiaodong Yang Ming-Yuan Liu Jan Kautz 3DPC 249 2,443 0 07 Sep 2017
Effective Use of Dilated Convolutions for Segmenting Small Object Instances in Remote Sensing Imagery Ryuhei Hamaguchi A. Fujita Keisuke Nemoto T. Imaizumi S. Hikosaka 90 219 0 01 Sep 2017
Understanding Convolution for Semantic Segmentation Panqu Wang Pengfei Chen Ye Yuan Ding Liu Zehua Huang Xiaodi Hou G. Cottrell SSeg 67 1,686 0 27 Feb 2017
CNN-based Patch Matching for Optical Flow with Thresholded Hinge Embedding Loss C. Bailer Kiran Varanasi Didier Stricker 45 63 0 27 Jul 2016
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs Liang-Chieh Chen George Papandreou Iasonas Kokkinos Kevin Patrick Murphy Alan Yuille SSeg 229 18,195 0 02 Jun 2016
PN-Net: Conjoined Triple Deep Network for Learning Local Image Descriptors Vassileios Balntas Edward Johns Lilian Tang K. Mikolajczyk 78 173 0 19 Jan 2016
PatchBatch: a Batch Augmented Loss for Optical Flow David Gadot Lior Wolf 51 102 0 06 Dec 2015
Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs) Djork-Arné Clevert Thomas Unterthiner Sepp Hochreiter 287 5,518 0 23 Nov 2015
Multi-Scale Context Aggregation by Dilated Convolutions Feng Yu V. Koltun SSeg 260 8,434 0 23 Nov 2015
Flow Fields: Dense Correspondence Fields for Highly Accurate Large Displacement Optical Flow Estimation C. Bailer B. Taetz D. Stricker 51 216 0 21 Aug 2015
Learning to Compare Image Patches via Convolutional Neural Networks Sergey Zagoruyko N. Komodakis SSL 81 1,436 0 14 Apr 2015
EpicFlow: Edge-Preserving Interpolation of Correspondences for Optical Flow Jérôme Revaud Philippe Weinzaepfel Zaïd Harchaoui Cordelia Schmid 69 796 0 12 Jan 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.6K 149,842 0 22 Dec 2014
Striving for Simplicity: The All Convolutional Net Jost Tobias Springenberg Alexey Dosovitskiy Thomas Brox Martin Riedmiller FAtt 236 4,665 0 21 Dec 2014
Deep metric learning using Triplet network Elad Hoffer Nir Ailon SSL DML 182 1,993 0 20 Dec 2014
Computing the Stereo Matching Cost with a Convolutional Neural Network Jure Zbontar Yann LeCun 3DV 67 769 0 15 Sep 2014