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

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

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

Double Spatial Pyramid Module(DSPM).

Double Spatial Pyramid Module(DSPM).</p

The pipeline of Multi-scale Feature Enhanced Adaptive Fusion Network (MFEAFN).

The pipeline of Multi-scale Feature Enhanced Adaptive Fusion Network (MFEAFN).</p