Efficient Convolutional Module for Semantic Understanding
This work is an extended version for the convolutional module in LBYL-Net
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Operator for general semantic understanding tasks like semantic segmentation and visual grounding
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Easily being inserted into layers
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Efficient computational process with linear space and time