CPISNet: Delving into Consistent Proposals of Instance Segmentation Network for High-Resolution Aerial Images

CPISNet: Delving into Consistent Proposals of Instance Segmentation Network for High-Resolution Aerial Images

Instance segmentation of high-resolution aerial images is challenging when compared to object detection and semantic segmentation in remote sensing applications. It adopts boundary-aware mask predictions, instead of traditional bounding boxes, to locate the objects-of-interest in pixel-wise. Meanwhi...

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Bibliographic Details
Main Authors: Xiangfeng Zeng, Shunjun Wei, Jinshan Wei, Zichen Zhou, Jun Shi, Xiaoling Zhang, Fan Fan
Format: Article
Language:English
Published: MDPI AG 2021-07-01
Series:Remote Sensing
Subjects:
instance segmentation
aerial images
region proposals
convolutional neural networks
Online Access:https://www.mdpi.com/2072-4292/13/14/2788

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https://www.mdpi.com/2072-4292/13/14/2788

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