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Abstract

The present invention discloses a target cross-domain detection and understanding method, system and equipment and a storage medium. Through spatial probability control and salient point pooling and in conjunction with a coupling relationship between a coding position probability and image features, diagonal vertexes of a target candidate frame are efficiently located, and network complexity is simplified so as to meet application needs for actual detection; through cross-domain guiding semantic extraction and knowledge transfer, an inclusion relation between target depth visual features and guiding semantics for different domains is explored, network training is guided, and cross-domain invariant features are extracted to enhance the cross-domain perception of a model; and by analyzing a target notability degree, a semantic hierarchy cross-domain perception mapping effect and a back propagation mechanism are explored, and a problem of accuracy in notable target prediction and guiding semantic understanding under a specific intention is solved.

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First Claim