A Projected Gradient Descent Method for CRF Inference allowing End-To-End Training of Arbitrary Pairwise Potentials

24 January 2017

Papers citing "A Projected Gradient Descent Method for CRF Inference allowing End-To-End Training of Arbitrary Pairwise Potentials"

6 / 6 papers shown

Title
Recent Advances in Embedding Methods for Multi-Object Tracking: A Survey Gaoang Wang Xiuming Zhang Lei Li VOT 61 15 0 22 May 2022
Deep Learning on Attributed Graphs: A Journey from Graphs to Their Embeddings and Back M. Simonovsky BDL GNN 29 1 0 24 Jan 2019
Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs Loic Landrieu M. Simonovsky GNN 3DPC 92 1,241 0 27 Nov 2017
Deep Occlusion Reasoning for Multi-Camera Multi-Target Detection Pierre Baqué François Fleuret Pascal Fua ObjD 29 92 0 19 Apr 2017
Laplacian Pyramid Reconstruction and Refinement for Semantic Segmentation Golnaz Ghiasi Charless C. Fowlkes SSeg 26 49 0 08 May 2016
MatConvNet - Convolutional Neural Networks for MATLAB Andrea Vedaldi Karel Lenc 186 2,946 0 15 Dec 2014