Beyond Photo-Domain Object Recognition: Benchmarks for the Cross-Depiction Problem
Beyond Photo-Domain Object Recognition: Benchmarks for the Cross-Depiction Problem
复制标题
超越照片域对象识别：交叉描述问题的基准
DOI：
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复制
发表时间：
2015
期刊：
影响因子：
--
通讯作者：
P. Hall
中科院分区：
文献类型：
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作者：
Hongping Cai;Qi Wu;P. Hall
交叉描绘问题是识别视觉对象，无论它们是否被拍摄，绘画，绘制等，它引入了巨大的挑战，因为照片和艺术领域的差异比单独的大得多。我们广泛评估分类，域适应和检测基准的领先技术，证明没有一贯表现良好的交叉描绘问题。最后，我们完善的查询扩展的基础上，使其能够在一定程度上跨越描绘边界的差距差距的查询模型。
The cross-depiction problem is that of recognising visual objects regardless of whether they are photographed, painted, drawn, etc. It introduces great challenge as the variance across photo and art domains is much larger than either alone. We extensively evaluate classification, domain adaptation and detection benchmarks for leading techniques, demonstrating that none perform consistently well given the cross-depiction problem. Finally we refine the DPM model, based on query expansion, enabling it to bridge the gap across depiction boundaries to some extent.
影响因子：
4.5
作者：
Hu, Rui;Collomosse, John
通讯作者：
Collomosse, John