# CNN-Based Illumination Estimation with Semantic Information
## 4 Conclusions
\begin{table}
\begin{tabular}{l c c c c c c c c c c c c} \hline \hline  & \multicolumn{8}{c}{**Statistics-Based**} & \multicolumn{8}{c}{**Learning-Based**} \\ \hline
**Method** & **GW** & **WP** & **SoG** & **GGW** & **GE1** & **GE2** & **LSR** & **PG** & **BF** & **SS** & **NIS** & **PN** \\ \hline Camera & \multicolumn{8}{c}{Mean of Best 25\%} \\ \hline Canon1 Ds & 0.95 & 1.56 & 0.66 & 0.64 & 0.81 & 0.86 & 1.06 & 1.05 & 0.76 & 0.88 & 0.78 & 0.65 \\ \hline Canon600D & 0.83 & 2.03 & 0.64 & 0.63 & 0.73 & 0.80 & 1.17 & 9.98 & 0.69 & 0.68 & 0.78 & 0.73 \\ \hline FujjXM1 & 0.91 & 1.82 & 0.87 & 0.73 & 0.72 & 0.70 & 0.99 & 3.44 & 0.93 & 0.81 & 0.86 & 0.75 \\ \hline NikonD5200 & 0.92 & 1.77 & 0.72 & 0.63 & 0.79 & 0.73 & 1.16 & 4.35 & 0.92 & 0.86 & 0.74 & 0.57 \\ \hline OlympEPL6 & 0.85 & 1.65 & 0.76 & 0.72 & 0.65 & 0.71 & 1.15 & 1.42 & 0.91 & 0.78 & 0.76 & 0.80 \\ \hline LumixGX1 & 0.82 & 2.25 & 0.78 & 0.70 & 0.56 & 0.61 & 0.82 & 2.06 & 0.68 & 0.82 & 0.79 & 0.65 \\ \hline SamNX2000 & 0.81 & 2.59 & 0.78 & 0.77 & 0.71 & 0.74 & 1.26 & 2.65 & 0.93 & 0.75 & 0.75 & 0.53 \\ \hline SonyA57 & 1.16 & 1.44 & 0.98 & 0.85 & 0.79 & 0.89 & 0.98 & 1.28 & 0.78 & 0.87 & 0.83 & 0.57 \\ \hline Camera & \multicolumn{8}{c}{Mean of Worst 25\%} \\ \hline Canon1 Ds & 11.00 & 16.75 & 8.52 & 7.08 & 7.69 & 7.76 & 7.30 & 14.16 & 7.95 & 6.43 & 9.51 & 6.67 \\ \hline Canon600D & 8.53 & 18.75 & 7.06 & 7.58 & 7.48 & 7.41 & 7.40 & 18.45 & 7.93 & 5.77 & 5.76 & 5.29 \\ \hline FujjXM1 & 9.04 & 18.26 & 7.55 & 7.62 & 7.32 & 7.23 & 7.06 & 13.4 & 8.82 & 5.99 & 9.37 & 5.64 \\ \hline NikonD5200 & 9.69 & 21.89 & 7.69 & 7.53 & 8.42 & 8.21 & 7.57 & 15.93 & 8.18 & 6.90 & 10.01 & 4.86 \\ \hline OlympEPL6 & 7.41 & 18.58 & 6.78 & 6.69 & 6.88 & 6.47 & 6.55 & 15.42 & 8.19 & 6.14 & 7.46 & 4.62 \\ \hline LumixGX1 & 8.45 & 20.40 & 7.12 & 6.86 & 7.03 & 6.86 & 7.42 & 12.19 & 8.00 & 5.90 & 8.74 & 5.74 \\ \hline SamNX2000 & 8.51 & 20.23 & 6.92 & 6.85 & 7.00 & 7.23 & 7.98 & 13.01 & 8.62 & 6.22 & 8.16 & 5.55 \\ \hline SonyA57 & 9.85 & 21.27 & 7.75 & 6.68 & 7.18 & 7.14 & 7.32 & 11.16 & 8.02 & 6.17 & 7.18 & 5.12 \\ \hline \hline \end{tabular}
\end{table} 
Table 2: _Cont._condition as well as camera sensitivity. To this end, this study will continue to advance illumination estimation accuracy. Conceptualization, H.-H.C., B.-J.Y., and H.-S.K. ; data curation, H.-H.C.; formal analysis, H.-H.C. and B.-J.Y. ; funding acquisition, B.-J.Y. and [PERSON]-[PERSON]; investigation, H.-H.C.; methodology, H.-H.C., B.-J.Y., and H.-S.K. ; project administration, B.-J.Y. and H.-S.K. ; resources, H.-H.C. and B.-J.Y. ; software, H.-H.C.; supervision, B.-J.Y. and H.-S.K. ; validation, H.-H.C. and B.-J.Y. ; visualization, H.-S.K. and H.-H.C.; writing--original draft, H.-H.C. and B.-J.Y. ; writing--review and editing, [PERSON]-J.Y. and [PERSON]-[PERSON]. All authors have read and agreed to the published version of the manuscript. This research was supported by Basic Science Research Program through the National Research Foundation (NRF) of Korea funded by the Ministry of Education (NRF-2019R1 IIA3A01061844), in part by the NRF of Korea funded by the Ministry of Education (NRF-2018R1D1A1B07040457), and in part of the research projects of \"Development of IoT infrastructure Technology for Smart Port\" financially supported by the Ministry of Oceans and Fisheries, Korea. The authors declare no conflicts of interest.