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English(EN) Hyperspectral Image Dataset for Benchmarking on Salient Object Detection

发布新的高光谱数据集用于显著目标检测基准测试

研究人员发布了一个新的高光谱图像数据集,专门用于基准测试显著目标检测模型。该数据集包含60张高光谱图像,每张图像都附带地面真实二值图像和sRGB渲染图,解决了先前模型在通用数据集上测试的局限性。数据收集考虑了物体大小、对比度和位置的变化,并对地面真实进行了细致标注。使用曲线下面积(AUC)指标对现有高光谱显著性检测模型进行了性能评估,并且该数据集可通过GitHub和Hugging Face公开访问。 AI

影响 为推进高光谱显著目标检测领域的研究提供了专用资源。

排序理由 该条目描述了一个用于研究目的的新数据集的发布,该数据集在arXiv论文中有详细介绍。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.CV 阅读 →

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发布新的高光谱数据集用于显著目标检测基准测试

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该条目描述了一个用于研究目的的新数据集的发布,该数据集在arXiv论文中有详细介绍。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.CV TIER_1 English(EN) · Nevrez Imamoglu, Yu Oishi, Xiaoqiang Zhang, Guanqun Ding, Yuming Fang, Toru Kouyama, Ryosuke Nakamura ·

    用于显著目标检测基准测试的高光谱图像数据集

    arXiv:1806.11314v3 Announce Type: replace Abstract: Many works have been done on salient object detection using supervised or unsupervised approaches on colour images. Recently, a few studies demonstrated that efficient salient object detection can also be implemented by using sp…