Variational Structured Attention Networks for Deep Visual Representation
Learning

Variational Structured Attention Networks for Deep Visual Representation Learning

5 March 2021

Xavier Alameda-Pineda

Dan Xu

Papers citing "Variational Structured Attention Networks for Deep Visual Representation Learning"

9 / 9 papers shown

Title
Full-Duplex Strategy for Video Object Segmentation Ge-Peng Ji Deng-Ping Fan Keren Fu Zhe Wu Jianbing Shen Ling Shao VOS 78 129 0 06 Aug 2021
Probabilistic Graph Attention Network with Conditional Kernels for Pixel-Wise Prediction Dan Xu Xavier Alameda-Pineda Wanli Ouyang Elisa Ricci Xiaogang Wang N. Sebe 19 23 0 08 Jan 2021
Learning Dynamic Routing for Semantic Segmentation Yanwei Li Lin Song Yukang Chen Zeming Li X. Zhang Xingang Wang Jian-jun Sun SSeg 80 161 0 23 Mar 2020
Spatial Pyramid Based Graph Reasoning for Semantic Segmentation Xia Li Yibo Yang Qijie Zhao Tiancheng Shen Zhouchen Lin Hong Liu SSeg GNN 102 161 0 23 Mar 2020
Graph-Based Global Reasoning Networks Yunpeng Chen Marcus Rohrbach Zhicheng Yan Shuicheng Yan Jiashi Feng Yannis Kalantidis GNN NAI 255 456 0 30 Nov 2018
Deep Ordinal Regression Network for Monocular Depth Estimation Huan Fu Mingming Gong Chaohui Wang Kayhan Batmanghelich Dacheng Tao MDE 180 1,705 0 06 Jun 2018
Effective Approaches to Attention-based Neural Machine Translation Thang Luong Hieu H. Pham Christopher D. Manning 214 7,687 0 17 Aug 2015
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Robust Semantic Pixel-Wise Labelling Vijay Badrinarayanan Ankur Handa R. Cipolla SSeg 161 788 0 27 May 2015
The Application of Two-level Attention Models in Deep Convolutional Neural Network for Fine-grained Image Classification Tianjun Xiao Yichong Xu Kuiyuan Yang Jiaxing Zhang Yuxin Peng Zheng-Wei Zhang 153 788 0 24 Nov 2014