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Download fileDiagram of the bottleneck residual block and Non-bt-1D module, where w0 denotes the number of channels in the upper layer output and w denotes the number of channels in the input.
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posted on 2021-10-19, 17:29 authored by Lichao Chen, Xiuzhi Xu, Lihu Pan, Jianfang Cao, Xiaoming LiDiagram of the bottleneck residual block and Non-bt-1D module, where w0 denotes the number of channels in the upper layer output and w denotes the number of channels in the input.
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test 100 imagesgradient disappearance problemcurrent best resultslevel feature mapsimproved attention pyramidproposed model modifiesmetric reaches 92iap provides highdiv >< plane predictor sidelane line detectionroad traffic accidentslevel attentionlane detectiontraffic accidentsline scenarioslane predictionlane linestraffic jamsroad poseroad damageroad cooperationvital parttremendous challengetime takentime scenestime performancesparse pixelssemantic segmentationrunning timenon bottleneckmultiple scenariosmotor vehiclesmodel achieveslight changesinterest duegood tradefrequent occurrencef1 existing modelse .,dazzling lightculane datasetclassification purposescar drivingauxiliary segmenter88 ms4 ms1d modules10 %,
