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Example segmentation results on the MJU-Waste test set. Input images and ground-truth annotations are shown in the first two columns. Baseline methods are FCN-8s (VGG-16) and DeepLabv3 (ResNet-50). Our proposed methods (FCN-8s-ML and DeepLabv3-ML) more accurately recover object boundaries. Best viewed electronically, zoomed in.
