List your company

Object Localization on Synthetic Hallway Scene Teapot Localization 1.0 (test)

0.0024MSEMaximum Likelihood Estimation (MLE)
-0.5109482.9541516.419259.884349Jan 30, 2026

Evaluation results

MethodLinks
Maximum Likelihood Estimation (MLE)theta* (true location)=80 cm, Noise level (sigma)=0.1, Samples per pixel (SPP)=512-1024, Independent runs=302026.010.0024——0.0019
Maximum Likelihood Estimation (MLE)theta* (true location)=100 cm, Noise level (sigma)=0.1, Samples per pixel (SPP)=512-1024, Independent runs=302026.014.0518——4.0372
Maximum Likelihood Estimation (MLE)theta* (true location)=120 cm, Noise level (sigma)=0.1, Samples per pixel (SPP)=512-1024, Independent runs=302026.015.9466——4.0569
Maximum Likelihood Estimation (MLE)theta* (true location)=140 cm, Noise level (sigma)=0.1, Samples per pixel (SPP)=512-1024, Independent runs=302026.016.7245——6.261
Maximum Likelihood Estimation (MLE)theta* (true location)=160 cm, Noise level (sigma)=0.1, Samples per pixel (SPP)=512-1024, Independent runs=302026.0112.8361——12.3953
Renderer-Enabled Framework for Computing Parameter Estimation Lower Boundstheta* (true location)=80 cm, Noise level (sigma)=0.1, Samples per pixel (SPP)=512-10242026.01—00—
Renderer-Enabled Framework for Computing Parameter Estimation Lower Boundstheta* (true location)=100 cm, Noise level (sigma)=0.1, Samples per pixel (SPP)=512-10242026.01—2.22014.3282—
Renderer-Enabled Framework for Computing Parameter Estimation Lower Boundstheta* (true location)=120 cm, Noise level (sigma)=0.1, Samples per pixel (SPP)=512-10242026.01—2.69994.9048—
Renderer-Enabled Framework for Computing Parameter Estimation Lower Boundstheta* (true location)=140 cm, Noise level (sigma)=0.1, Samples per pixel (SPP)=512-10242026.01—3.39645.6872—
Renderer-Enabled Framework for Computing Parameter Estimation Lower Boundstheta* (true location)=160 cm, Noise level (sigma)=0.1, Samples per pixel (SPP)=512-10242026.01—6.772111.6408—