Fit indices of covariance structure analyses.

<p>Fit indices of covariance structure analyses.</p

Final Structural Model (N = 296).

<p>Note: all factor loadings were standardized. Stress1–Stress3 = three parcels of stress; Self-efficacy 1–Self-efficacy 3 = three parcels of self-efficacy; Optimism1–Optimism3 = three parcels of dispositional optimism; Suicide ideation1–Suicide ideation3 = three parcels of suicide ideation; ** P<0.01</p

Direct and indirect effects and 95% confidence intervals for the final model.

<p>Direct and indirect effects and 95% confidence intervals for the final model.</p

Machine software and hardware configuration.

Machine software and hardware configuration.</p

Comparison with compared with state-of-the-Art on the Cityscapes dataset.

Comparison with compared with state-of-the-Art on the Cityscapes dataset.</p

Ablation results on the PASCAL VOC 2012 valuation set.

Concat refers to the use of concatenation operations to fuse the output of DAPM. SFM: Selective Fuse Module. SSFM is the addition of the Spatial Attention Mechanism to each of the two branches of SFM. FSFM refers to the Focusing Selective Fuse Module.</p

Some examples of MFEAFN failures’ visualisation results on the the PASCAL VOC 2012 validation set.

Some examples of MFEAFN failures’ visualisation results on the the PASCAL VOC 2012 validation set.</p

Comparison of DeepLabv3+ and MFEAFN visualization results on PASCAL VOC 2012 validation set.

Comparison of DeepLabv3+ and MFEAFN visualization results on PASCAL VOC 2012 validation set.</p

Grad-CAM [45] visualization result and the Grad-CAM visualization are calculated for the last convolutional outputs.

The first column is the original image. We compare the visualization results of the proposed three different feature fusion modules with the baseline.</p

Double Spatial Pyramid Module(DSPM).

Double Spatial Pyramid Module(DSPM).</p