Top-Down Learning for Structured Labeling with Convolutional Pseudoprior

23 November 2015

Papers citing "Top-Down Learning for Structured Labeling with Convolutional Pseudoprior"

9 / 9 papers shown

Title
ORDNet: Capturing Omni-Range Dependencies for Scene Parsing Shaofei Huang Si Liu Tianrui Hui Jizhong Han Bo Li Jiashi Feng Shuicheng Yan 3DPC OffRL 39 15 0 11 Jan 2021
Visual Semantic Information Pursuit: A Survey Daqi Liu M. Bober J. Kittler 15 31 0 13 Mar 2019
Disentangling Propagation and Generation for Video Prediction Hang Gao Huazhe Xu Qi-Zhi Cai Ruth Wang Feng Yu Trevor Darrell 23 84 0 02 Dec 2018
On the iterative refinement of densely connected representation levels for semantic segmentation Arantxa Casanova Guillem Cucurull M. Drozdzal Adriana Romero Yoshua Bengio SSeg 31 24 0 30 Apr 2018
Regularizing Deep Networks by Modeling and Predicting Label Structure Mohammadreza Mostajabi Michael Maire Gregory Shakhnarovich NoLa 24 32 0 05 Apr 2018
Iterative Visual Reasoning Beyond Convolutions Xinlei Chen Li Li Li Fei-Fei Abhinav Gupta LRM GNN 48 214 0 29 Mar 2018
PixelNet: Representation of the pixels, by the pixels, and for the pixels Aayush Bansal Xinlei Chen Bryan C. Russell Abhinav Gupta Deva Ramanan SSeg 32 120 0 21 Feb 2017
Image-to-Image Translation with Conditional Adversarial Networks Phillip Isola Jun-Yan Zhu Tinghui Zhou Alexei A. Efros SSeg 212 19,494 0 21 Nov 2016
PixelNet: Towards a General Pixel-level Architecture Aayush Bansal Xinlei Chen Bryan C. Russell Abhinav Gupta Deva Ramanan SSeg 212 58 0 21 Sep 2016