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Found 3 papers, 1 papers with code
CNS-Net: Conservative Novelty Synthesizing Network for Malware Recognition in an Open-set Scenario
Previous works usually assume the malware families are known to the classifier in a close-set scenario, i. e., testing families are the subset or at most identical to training families.
MAANet: Multi-view Aware Attention Networks for Image Super-Resolution
Specifically, we propose the local aware (LA) and global aware (GA) attention to deal with LR features in unequal manners, which can highlight the high-frequency components and discriminate each feature from LR images in the local and the global views, respectively.
Position-Aware Convolutional Networks for Traffic Prediction
Our approach employs the inception backbone network to capture rich features of traffic distribution on the whole area.
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