Pixel-level rail transit scene understanding method and system
The invention provides a pixel-level rail transit scene understanding method and system, and belongs to the technical field of rail transit safety operation control, and the method comprises the steps: carrying out the continuous down-sampling operation of an input image through employing a light-we...
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Main Authors | , , , , , , , , , , , |
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Format | Patent |
Language | Chinese English |
Published |
28.05.2024
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Subjects | |
Online Access | Get full text |
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Summary: | The invention provides a pixel-level rail transit scene understanding method and system, and belongs to the technical field of rail transit safety operation control, and the method comprises the steps: carrying out the continuous down-sampling operation of an input image through employing a light-weight double-branch fusion backbone network, and extracting image features; and inputting a feature map extracted by the backbone network into a bidirectional feature pyramid pooling network to obtain a multi-scale receptive field and deep semantic features, and further optimizing the scene understanding effect of the method from pixel and edge angles by using a multi-task multi-scale loss function. The lightweight double-branch fusion backbone network can extract image features more quickly and more effectively, the bidirectional feature pyramid pooling network extracts semantic features from a multi-scale angle, a multi-task multi-scale loss function supervises the learning process of the method from two angles of |
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Bibliography: | Application Number: CN202311541737 |