May 23, 2023 · In this paper, we make the first attempt to achieve RS object detection with single point supervision, and propose a PSOD method tailored for RS images.
Jan 4, 2024 · Our method can achieve significantly better performance when compared to state-of-the-art image-level and point-level supervised detection.
Dec 18, 2023 · Our method can achieve significantly better performance when compared to state-of-the-art image-level and point-level supervised detection ...
This is the PyTorch implementation of the method in our paper "Learning Remote Sensing Object Detection with Single Point Supervision".
Our method can achieve significantly better performance as compared to state-of-the-art image-level and point-level supervised detection methods, and reduce the ...
Single point-supervised object detection is gaining at- tention due to its cost-effectiveness. However, existing ap- proaches focus on generating horizontal ...
When applied in training, the model annotated with SPA shows a 4.7% higher mean average precision (mAP) compared to models using traditional annotation methods.
In this study, we introduce the P2RBox network, which leverages point annotations and a mask generator to create mask proposals.
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PointOBB: Learning Oriented Object Detection via Single Point Supervision ... object detection for remote sensing images based on weakly supervised ...
May 2, 2024 · PDF | On Dec 20, 2023, Junwei Luo and others published PointOBB: Learning Oriented Object Detection via Single Point Supervision | Find, ...