A scenario semantic parsing method based on a global guidance selective context network. The network comprises a backbone network (110), a context selective network (120) and a pixel classification network (130), wherein the backbone network (110) receives an input data source image, performs layer-by-layer feature extraction, and inputs primary feature maps (11) extracted from different layers into the context selective network (120); the context selective network (120) obtains, by means of an attention mechanism based on global information guidance, fusion weight factors for fusing a global context and local contexts at different pixel positions, and according to the weight factors, adaptively fuses the global context and the local context for each pixel in the primary feature maps (11), so as to obtain secondary feature maps (12) with a high resolution and robust semantic expression; and finally, the pixel classification network (130) performs pixel-by-pixel classification on the secondary feature maps (12) to obtain an accurate scenario semantic analysis result. The precision of scenario semantic analysis is thus improved.
SCENARIO SEMANTIC PARSING METHOD BASED ON GLOBAL GUIDANCE SELECTIVE CONTEXT NETWORK