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Papers/UCP-Net: Unstructured Contour Points for Instance Segmenta...

UCP-Net: Unstructured Contour Points for Instance Segmentation

Camille Dupont, Yanis Ouakrim, Quoc Cuong Pham

2021-09-15Interactive SegmentationSegmentationSemantic SegmentationInstance Segmentation
PaperPDF

Abstract

The goal of interactive segmentation is to assist users in producing segmentation masks as fast and as accurately as possible. Interactions have to be simple and intuitive and the number of interactions required to produce a satisfactory segmentation mask should be as low as possible. In this paper, we propose a novel approach to interactive segmentation based on unconstrained contour clicks for initial segmentation and segmentation refinement. Our method is class-agnostic and produces accurate segmentation masks (IoU > 85%) for a lower number of user interactions than state-of-the-art methods on popular segmentation datasets (COCO MVal, SBD and Berkeley).

Results

TaskDatasetMetricValueModel
Interactive SegmentationGrabCutNoC@852UCP-Net
Interactive SegmentationGrabCutNoC@902.76UCP-Net
Interactive SegmentationBerkeleyNoC@902.7UCP-Net
Interactive SegmentationSBDNoC@852.73UCP-Net
Interactive SegmentationSBDNoC@905UCP-Net

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