Jul 19, 2023 · We propose an edge-detection guided balanced sampling (EBS) method that introduces edge and contour information from objects to guide the sampling of candidate ...
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Jul 19, 2023 · We propose an edge-detection guided balanced sampling (EBS) method that introduces edge and contour information from objects to guide the sampling of candidate ...
In our work, we propose an edge-detection guided balanced sampling (EBS) method that introduces edge and contour information from objects to guide the sampling ...
Jul 19, 2023 · In anchor-based object detection algorithms, achieving a balance between positive and negative samples during training is crucial.
In our work, we propose an edge-detection guided balanced sampling (EBS) method that introduces edge and contour information from objects to guide the sampling ...
Edge Detection-Guided Balanced Sampling. https://doi.org/10.1007/s11063-023 ... balanced training sample assignment method for object detection. In ...
In our work, we propose an edge-detection guided balanced sampling (EBS) method that introduces edge and contour information from objects to guide... Cite.
Jul 19, 2023 · In anchor-based object detection algorithms, achieving a balance between positive and negative samples during training is crucial.
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Edge Detection-Guided Balanced Sampling. Abstract. In anchor-based object detection algorithms, achieving a balance between positive and negative samples ...
An improvement of the object detection regression module for the bounding box redundancy problem is proposed and the strategy of balancing hard and easy ...