EINet: camouflaged object detection with pyramid vision transformer (Erratum)

Chen Li; Ge Jiao

doi:10.1117/1.JEI.31.5.059801

10 September 2022 EINet: camouflaged object detection with pyramid vision transformer (Erratum)

Chen Li, Ge Jiao

Author Affiliations +

Journal of Electronic Imaging, Vol. 31, Issue 5, 059801 (September 2022). https://doi.org/10.1117/1.JEI.31.5.059801

Abstract

The erratum corrects an error in Table 2.

This article [J. of Electronic Imaging, 31(5), 053002 (2022) doi 10.1117/1.JEI.31.5.053002] was originally published on 1 September 2022 with an error in Table 2. The best results were mistakenly displayed in italics and the second-best results were displayed in bold. The table has been corrected to display the best results in bold and the second-best results in italics. The corrected table is below.

Table 2

The ablation study results of the different backbones on four benchmark datasets. ↑ indicates the higher the better, and vice versa. The best score of each indicator is highlighted in italics, and the second-best score is in bold.

Backbone	CHAMELEON				CAMO-test				COD10K-test				NC4K
Backbone	Sα↑	Em↑	Fβω↑	M↓	Sα↑	Em↑	Fβω↑	M↓	Sα↑	Em↑	Fβω↑	M↓	Sα↑	Em↑	Fβω↑	M↓
ResNet18⁴⁶	0.794	0.855	0.651	0.066	0.624	0.676	0.429	0.142	0.642	0.721	0.379	0.083	0.681	0.741	0.497	0.107
ResNet34⁴⁶	0.811	0.876	0.675	0.059	0.625	0.687	0.431	0.142	0.644	0.722	0.380	0.085	0.684	0.747	0.500	0.107
ResNet50⁴⁶	0.793	0.850	0.631	0.069	0.626	0.675	0.424	0.143	0.636	0.708	0.363	0.090	0.676	0.735	0.483	0.112
ResNet101⁴⁶	0.774	0.823	0.605	0.077	0.614	0.662	0.407	0.148	0.638	0.704	0.363	0.091	0.676	0.729	0.478	0.113
ResNet152⁴⁶	0.762	0.816	0.582	0.084	0.619	0.669	0.409	0.149	0.641	0.704	0.368	0.093	0.687	0.737	0.492	0.112
ResNeXt50⁴⁷	0.785	0.850	0.625	0.067	0.626	0.690	0.427	0.145	0.646	0.714	0.379	0.088	0.688	0.746	0.501	0.108
ResNeXt101⁴⁷	0.775	0.830	0.609	0.074	0.614	0.672	0.410	0.151	0.640	0.708	0.369	0.091	0.681	0.741	0.490	0.111
Wide_ResNet50⁴⁸	0.800	0.854	0.655	0.065	0.622	0.678	0.418	0.145	0.643	0.714	0.378	0.087	0.683	0.742	0.496	0.109
Wide_ResNet101⁴⁸	0.777	0.828	0.607	0.074	0.625	0.679	0.423	0.148	0.640	0.708	0.367	0.090	0.681	0.736	0.487	0.111
Res2Net50⁴⁹	0.891	0.939	0.819	0.030	0.817	0.872	0.740	0.070	0.815	0.887	0.682	0.036	0.845	0.900	0.768	0.047
Res2Net101⁴⁹	0.889	0.943	0.822	0.029	0.814	0.868	0.734	0.073	0.818	0.890	0.686	0.035	0.850	0.903	0.775	0.047
pvt_v2_b0¹³	0.870	0.930	0.782	0.036	0.815	0.866	0.726	0.072	0.804	0.873	0.655	0.039	0.843	0.896	0.757	0.050
pvt_v2_b1¹³	0.889	0.941	0.816	0.028	0.830	0.886	0.761	0.065	0.828	0.899	0.704	0.033	0.861	0.913	0.791	0.042
pvt_v2_b2¹³	0.895	0.944	0.837	0.027	0.856	0.910	0.801	0.054	0.847	0.915	0.742	0.028	0.875	0.926	0.817	0.037
pvt_v2_b3¹³	0.899	0.949	0.843	0.028	0.864	0.919	0.812	0.050	0.847	0.918	0.745	0.027	0.877	0.929	0.822	0.036
pvt_v2_b4¹³	0.910	0.959	0.857	0.023	0.870	0.925	0.822	0.047	0.849	0.918	0.746	0.027	0.880	0.931	0.826	0.035
pvt_v2_b5¹³	0.897	0.942	0.838	0.027	0.863	0.922	0.814	0.048	0.840	0.908	0.731	0.030	0.873	0.927	0.818	0.037

The article was corrected on 5 September 2022.

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Chen Li and Ge Jiao "EINet: camouflaged object detection with pyramid vision transformer (Erratum)," Journal of Electronic Imaging 31(5), 059801 (10 September 2022). https://doi.org/10.1117/1.JEI.31.5.059801

Published: 10 September 2022

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