Search Results for author:
Found 4 papers, 1 papers with code
Multi-digit Number Recognition from Street View Imagery using Deep Convolutional Neural Networks
In this paper we propose a unified approach that integrates these three steps via the use of a deep convolutional neural network that operates directly on the image pixels.
Ranked #30 on
Image Classification
on SVHN
Ontological Supervision for Fine Grained Classification of Street View Storefronts
Modern search engines receive large numbers of business related, local aware queries.
Large Scale Business Discovery from Street Level Imagery
Precise business store front detection enables accurate geo-location of businesses, and further provides input for business categorization, listing generation, etc.
Accurate Deep Direct Geo-Localization from Ground Imagery and Phone-Grade GPS
We propose a method to train a geo-spatial deep neural network (CNN+LSTM) to predict accurate geo-locations (latitude and longitude) using only ordinary ground imagery and low accuracy phone-grade GPS.
