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Key Information Extraction in Purchase Documents using Deep Learning and Rule-based Corrections
We prove the enhancements provided by these rule-based corrections over the baseline DL results in the presented experiments for purchase documents from public and NielsenIQ datasets.
RNN-based Pedestrian Crossing Prediction using Activity and Pose-related Features
Pedestrian crossing prediction is a crucial task for autonomous driving.
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