Search Results for author:
Found 5 papers, 0 papers with code
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.
Multi-label classification of promotions in digital leaflets using textual and visual information
We demonstrate the effectiveness of our approach for two separated tasks: 1) image-based detection of the descriptions for each individual promotion and 2) multi-label classification of the product categories using the text from the product descriptions.
Integration of Text-maps in Convolutional Neural Networks for Region Detection among Different Textual Categories
Concretely, these words are previously extracted using Optical Character Recognition (OCR) and they are colored according to the probability of belonging to a textual category of interest.
Optical Character Recognition
Optical Character Recognition (OCR)
Street-view change detection with deconvolutional networks
We propose a system for performing structural change detection in street-view videos captured by a vehicle-mounted monocular camera over time.
Can we unify monocular detectors for autonomous driving by using the pixel-wise semantic segmentation of CNNs?
Autonomous driving is a challenging topic that requires complex solutions in perception tasks such as recognition of road, lanes, traffic signs or lights, vehicles and pedestrians.
