![]() At the same time, its inference speed can also meet the demands of autonomous driving. We also design a multi-level attention feature fusion module that can excavate the available context information of RGB and depth features. Considering the application of RGB-D semantic segmentation in autonomous driving, we design a real-time semantic segmentation network, that is, MAFFNet, which can effectively extract depth features and combine the complementary information in RGB and depth. Note: Author names will be searched in the keywords field, also, but that may find papers where the person is mentioned, rather than papers they authored.Ĭompared with RGB semantic segmentation, RGB-D semantic segmentation can combine the geometric depth information to effectively improve the segmentation accuracy.Use a comma to separate multiple people: J Smith, RL Jones, Macarthur.Use these formats for best results: Smith or J Smith.For best results, use the separate Authors field to search for author names.Use quotation marks " " around specific phrases where you want the entire phrase only. ![]() Question mark (?) - Example: "gr?y" retrieves documents containing "grey" or "gray".Asterisk ( * ) - Example: "elect*" retrieves documents containing "electron," "electronic," and "electricity".Improve efficiency in your search by using wildcards.Example: (photons AND downconversion) - pump.Example: (diode OR solid-state) AND laser.Note the Boolean sign must be in upper-case. Separate search groups with parentheses and Booleans.Keep it simple - don't use too many different parameters.
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