Principled Parallel Mean-Field Inference for Discrete Random Fields

19 November 2015

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

9 / 9 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 14 0 0 27 Jul 2023
Monotone deep Boltzmann machines Zhili Feng Ezra Winston J. Zico Kolter 22 1 0 11 Jul 2023
Regularized Frank-Wolfe for Dense CRFs: Generalizing Mean Field and Beyond Đ.Khuê Lê-Huu Alahari Karteek 31 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 H. S. Torr M. P. Kumar 23 6 0 23 May 2018
A Forest Mixture Bound for Block-Free Parallel Inference Neal Lawton Aram Galstyan Greg Ver Steeg 11 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 11 294 0 26 Mar 2018
Deep Occlusion Reasoning for Multi-Camera Multi-Target Detection Pierre Baqué F. Fleuret Pascal Fua ObjD 11 92 0 19 Apr 2017
Multi-Modal Mean-Fields via Cardinality-Based Clamping Pierre Baqué F. Fleuret Pascal Fua AI4CE 19 3 0 23 Nov 2016
Efficient Continuous Relaxations for Dense CRF Alban Desmaison Rudy Bunel Pushmeet Kohli Philip H. S. Torr M. P. Kumar 24 27 0 22 Aug 2016