The evaluation accuracy (%) for bounding box generation and instance segmentation.
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https://figshare.com/articles/dataset/The_evaluation_accuracy_for_bounding_box_generation_and_instance_segmentation_/19385691
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The upper part of the table is related to object detection (bounding boxes), and the lower part is related to instance segmentation. We used DCAN, CosineEmbedding, and Mask R-CNN for the other ANN architectures. When the entry is not applicable, dash (-) is used.
表格上半部分对应基于边界框(bounding boxes)的目标检测(object detection)任务,下半部分则涉及实例分割(instance segmentation)任务。针对其余人工神经网络(Artificial Neural Network, ANN)架构,我们选用了DCAN、CosineEmbedding与Mask R-CNN。当条目不适用时,以短横线(-)标注。
创建时间:
2022-03-18



