We deployed the deformable convolutional block to learn features of ships with various scales at arbitrary locations. Different from the preceding works, the ...
To solve these problems, we introduced a new method for ship detection. We deployed the deformable convolutional block to learn features of ships with various ...
Apr 12, 2022 · FD-Net can detect ships with variable scale, orientation and shape by integrating deformable convolution into the entire network structure, ...
Jul 10, 2021 · SMALL SHIP DETECTION VIA DEFORMABLE CONVOLUTIONAL NETWORK. Yao Wang, Ganggang Dong, Hongwei Liu, Xidian University, China. Session: Ship ...
May 16, 2023 · In this paper, we propose a novel deep learning network with deformable convolution and attention mechanisms to improve the Feature Pyramid Network (FPN) model
Ship target detection method based on improved YOLOv8 for SAR images
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Dec 13, 2024 · The method integrates deformable convolutional networks (DCN) into the leading network to enhance feature extraction capabilities and the ...
Oct 22, 2024 · To address the above problems, a novel, fully deformable convolutional network (FD-Net) is proposed for dense and multiple-scale ship detection ...
First, the architecture of feature pyramid network is adopted to detect small-scale ship object by using a bottom-up refinement process and multi-scale feature ...
Jun 19, 2024 · In an effort to surmount these challenges, this paper proposes a flexible convolutional network (FCNet), integrating dilated convolutions and ...
Dec 8, 2024 · To address the slow training issue of DETR, Deformable DETR introduced a deformable convolutional network to accelerate convergence and improve ...