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Attributes now play a vital role for characterizing a crowded scene. Compared to low-level visual features, processing informed by attributes can capture rich semantic information. However, to effectively assign attributes to a crowded scene still remains a challenging task. In this letter, inspired by a recently proposed zero-shot learning framework, a novel attribute assignment method that maps...
Crop segmentation is a frequently concerned problem for computer vision applications in agriculture. Tassel is a typical agronomic trait in the crop breeding process. Tassel trait characterization also requires fine-grained shape extraction. However, previous methods are usually dependent of category, which is hard to transfer to other cultivars with different colors. To address this, the goal of...
Test oracle is one of the most difficult parts for test automation. For software with a large number of test cases, it is always both expensive and error prone to develop and maintain test oracles. The research is motivated by industry needs of automated testing on software with standard interfaces in an open system architecture. In counter to test oracle challenges, it proposes an innovative method...
Open Software Architecture (OSA) has been a prevalent design principle for integrating large, complex software systems from components. In OSA, interface specifications provide standard representations of the exposed software functionalities and constraints. Using an industry OSA system, the paper investigates the potential to extract domain model from standard interface specifications and to automate...
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