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Ship detection with deep learning in optical remote-sensing images: A survey of challenges and advances
T Zhao, Y Wang, Z Li, Y Gao, C Chen, H Feng, Z Zhao - Remote Sensing, 2024 - mdpi.com
Ship detection aims to automatically identify whether there are ships in the images, precisely
classifies and localizes them. Regardless of whether utilizing early manually designed …
classifies and localizes them. Regardless of whether utilizing early manually designed …
GraphAlign: Enhancing accurate feature alignment by graph matching for multi-modal 3D object detection
LiDAR and cameras are complementary sensors for 3D object detection in autonomous
driving. However, it is challenging to explore the unnatural interaction between point clouds …
driving. However, it is challenging to explore the unnatural interaction between point clouds …
Dense object detection methods in RAW UAV imagery based on YOLOv8
Z Wu, X Wang, M Jia, M Liu, C Sun, C Wu, J Wang - Scientific reports, 2024 - nature.com
Accurate, fast and lightweight dense target detection methods are highly important for
precision agriculture. To detect dense apricot flowers using drones, we propose an …
precision agriculture. To detect dense apricot flowers using drones, we propose an …
Fuzzy-nms: Improving 3d object detection with fuzzy classification in nms
L Wang, X Zhang, F Zhao, C Wu… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
Non-maximum suppression (NMS) is an essential post-processing module in many 3D
object detection frameworks to remove overlap** candidate bounding boxes. However, an …
object detection frameworks to remove overlap** candidate bounding boxes. However, an …
Ultra-FastNet: an end-to-end learnable network for multi-person posture prediction
T Peng, Y Luo, Z Ou, J Du, G Lin - The Journal of Supercomputing, 2024 - Springer
At present, the top-down approach requires the introduction of pedestrian detection
algorithms in multi-person pose estimation. In this paper, we propose an end-to-end …
algorithms in multi-person pose estimation. In this paper, we propose an end-to-end …
ContextNet: Leveraging Comprehensive Contextual Information for Enhanced 3D Object Detection
C Pei, S Zhang, L Cao, L Zhao - IEEE Access, 2024 - ieeexplore.ieee.org
The progress in object detection for autonomous driving using LiDAR point cloud data has
been remarkable. However, current voxel-based two-stage detectors have not fully …
been remarkable. However, current voxel-based two-stage detectors have not fully …