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Interleaved Sequence RNNs for Fraud Detection
Payment card fraud causes multibillion dollar losses for banks and merchants worldwide, often fueling complex criminal activities.
Attention Filtering for Multi-person Spatiotemporal Action Detection on Deep Two-Stream CNN Architectures
Our method, using fovea attention filtering and our generalized binary loss, achieves a relative video mAP improvement of 20% over the two-stream baseline in AVA, and is competitive with the state-of-the-art in the UCF101-24.
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