Abstract: Recent studies have highlighted the importance of contextual information for small object detection. However, existing methods rely solely on visual features and lack additional semantic ...
Visual comparison between ESCNet and other SOTA methods. Our model accurately segments objects with complex backgrounds and intricate boundaries. For ease of use, we create a eval.sh script and a use ...
Abstract: This research is dedicated to developing source code vulnerability detection technology based on code semantic contribution to address software security challenges. The research preprocesses ...
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