In this paper, we propose a new method to achieve inshore ship detection based on Mask R-CNN. We introduce Soft-Non-Maximum Suppression (Soft-NMS) into our ...
This paper proposes a new method to achieve inshore ship detection based on Mask R-CNN, and introduces Soft-Non-Maximum Suppression (Soft-NMS) into the ...
In this paper, we propose a new method to achieve inshore ship detection based on Mask R-CNN. We introduce Soft-Non-Maximum. Suppression (Soft-NMS) into our ...
Nie et al. [48] proposed a new method of achieving inshore ship detection based on Mask R-CNN, in which soft-non-maximum suppression (Soft-NMS) was introduced ...
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Aug 4, 2023 · In this paper, a new inshore ship detection method based on multi-modality saliency is proposed to overcome these challenges.
This paper proposes a ship detection and segmentation method based on an improved Mask R-CNN model. Our proposed method can accurately detect and segment ships ...
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Shanlan Nie, Zhiguo Jiang, Haopeng Zhang, Bowen Cai, Yuan Yao: Inshore Ship Detection Based on Mask R-CNN. IGARSS 2018: 693-696.
Apr 1, 2022 · Ship instance segmentation based on visible images can achieve efficient detection and segmentation of multiple targets, and the low cost is ...
Improved Mask R-CNN for Aircraft Detection in Remote Sensing Images
pmc.ncbi.nlm.nih.gov › PMC8068277
Nie et al. [26] proposed a method to achieve inshore ship detection based on Mask R-CNN to ignore the complicated hand-crafted feature. Stiller et al.