Acta Optica Sinica, Volume. 40, Issue 21, 2115001(2020)
Contour-Point Refined Mask Prediction for Single-Stage Instance Segmentation
To solve the fuzzy problem of edge information in mask results by single-stage PolarMask, a contour-point refined network is proposed herein. By predicting the angel offset and distance for each contour point, a more accurate contour can be generated. Moreover, an extra semantic segmentation is added to further refine the edge information. Experiments show that the proposed method achieves a segmentation accuracy of 32.5% on the MS COCO test dataset, 2.1 percentages higher than the fundamental PolarMask, demonstrating the effectiveness of the proposed method.
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Xuyi Zhang, Jiale Cao. Contour-Point Refined Mask Prediction for Single-Stage Instance Segmentation[J]. Acta Optica Sinica, 2020, 40(21): 2115001
Category: Machine Vision
Received: Jun. 8, 2020
Accepted: Jul. 15, 2020
Published Online: Oct. 26, 2020
The Author Email: Zhang Xuyi (zxy1996@tju.edu.cn)