DeepLabV3+ outperforms Dynamic U-Net and PSPNet for aerial segmentation in a new 90-image Granada dataset, and parked cars can be identified by a fourth class or by a heuristic post-processing rule.
Automatic Skin Lesion Segmentation Using Deep Fully Convolutional Networks
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This paper summarizes our method and validation results for the ISIC Challenge 2018 - Skin Lesion Analysis Towards Melanoma Detection - Task 1: Lesion Segmentation
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Parking Space Detection in the City of Granada
DeepLabV3+ outperforms Dynamic U-Net and PSPNet for aerial segmentation in a new 90-image Granada dataset, and parked cars can be identified by a fourth class or by a heuristic post-processing rule.