Principled Parallel Mean-Field Inference for Discrete Random Fields

19 November 2015

Papers citing "Principled Parallel Mean-Field Inference for Discrete Random Fields"

10 / 10 papers shown

Title
Benchmarking Performance of Deep Learning Model for Material Segmentation on Two HPC Systems Warren R. Williams Ross Glandon Luke L. Morris Jingliang Cheng VLM 29 0 0 27 Jul 2023
Monotone deep Boltzmann machines Zhili Feng Ezra Winston J. Zico Kolter 32 1 0 11 Jul 2023
Regularized Frank-Wolfe for Dense CRFs: Generalizing Mean Field and Beyond Đ.Khuê Lê-Huu Alahari Karteek 36 12 0 27 Oct 2021
Efficient Relaxations for Dense CRFs with Sparse Higher Order Potentials Thomas Joy Alban Desmaison Thalaiyasingam Ajanthan Rudy Bunel Mathieu Salzmann Pushmeet Kohli Philip Torr M. P. Kumar 29 6 0 23 May 2018
A Forest Mixture Bound for Block-Free Parallel Inference Neal Lawton Aram Galstyan Greg Ver Steeg 16 0 0 17 May 2018
On Regularized Losses for Weakly-supervised CNN Segmentation Meng Tang Federico Perazzi Abdelaziz Djelouah Ismail Ben Ayed Christopher Schroers Yuri Boykov 22 294 0 26 Mar 2018
Deep Occlusion Reasoning for Multi-Camera Multi-Target Detection Pierre Baqué François Fleuret Pascal Fua ObjD 29 92 0 19 Apr 2017
Multi-Modal Mean-Fields via Cardinality-Based Clamping Pierre Baqué François Fleuret Pascal Fua AI4CE 29 3 0 23 Nov 2016
Efficient Continuous Relaxations for Dense CRF Alban Desmaison Rudy Bunel Pushmeet Kohli Philip Torr M. P. Kumar 32 27 0 22 Aug 2016
Higher Order Conditional Random Fields in Deep Neural Networks Anurag Arnab Sadeep Jayasumana Shuai Zheng Philip Torr SSeg 14 230 0 25 Nov 2015