atlas

Research map / Optimization / Optimizers

Efficient Linear Programming for Dense CRFs

CVPR 2017 · Optimization › Optimizers · approach: Surrogate losses and robust solvers · 11 citations (OpenAlex)

Check your idea against 108,967 papers

AI-extracted summary. Written by AI from the paper's title only (no summary yet). Numbers and claims can be wrong or missing context, so check the paper before you cite or build on it.

Measured effects reported in the paper

What was changedWhereMeasuredEffect
use PROX-LP instead of SG-LP_ℓDense CRF inference · MSRCAve. E (×10^3): 3335.6 -> 1274.4Helped
use PROX-LP instead of SG-LP_ℓDense CRF inference · Pascal VOC 2010Ave. E (×10^3): 617.1 -> 507.7Helped
use PROX-LP instead of SG-LP_ℓDense CRF inference · MSRCAve. T (s): 13.6 -> 23.5Hurt
use PROX-LP_acc instead of SG-LP_ℓDense CRF inference · Pascal VOC 2010Ave. T (s): 84.4 -> 14.7Helped
add restriction to relevant labels (ablation)PROX-LP · MSRCAve. T (s): 23.5 -> 6.3Helped
add restriction to relevant labels (ablation)PROX-LP · MSRCAve. E (×10^3): 1274.4 -> 1189.8Helped
add restriction to uncertain pixels, after label restriction (ablation)PROX-LP_ℓ · MSRCAve. T (s): 6.3 -> 3.7Helped
add restriction to uncertain pixels, after label restriction (ablation)PROX-LP_ℓ · MSRCAve. E (×10^3): 1189.8 -> 1340.0Hurt
add restriction to uncertain pixels, after label restriction (ablation)PROX-LP_ℓ · Pascal VOC 2010Ave. T (s): 22.1 -> 14.7Helped
add restriction to uncertain pixels, after label restriction (ablation)PROX-LP_ℓ · Pascal VOC 2010Ave. E (×10^3): 502.1 -> 507.7Hurt
use modified filtering for conditional-gradient computation instead of divide-and-conquerDense CRF LP optimization · Pascal VOC 2010 test imagespeedup: 10 - 65 times fasterHelped

Closest papers by meaning

Writing a paper in this area? scime draft is a free LaTeX editor with AI included, real-time co-authors and a check of your references and venue rules before you submit. It also imports OpenAI Prism projects.

Open scime draft

Get the next scime Dispatch and a monthly field update

Free. We send a confirmation link first; every email has a one-click unsubscribe. Privacy