potterhsu/SVHNClassifier-PyTorch
A PyTorch implementation of Multi-digit Number Recognition from Street View Imagery using Deep Convolutional Neural Networks (http://arxiv.org/pdf/1312.6082.pdf)
Implements multi-task learning with separate digit length and individual digit classifiers (10 output classes per position, with class 10 representing "no digit"), achieving 95.65% accuracy on SVHN. The architecture uses convolutional feature extraction with multi-head classification branches trained jointly on the Street View House Numbers dataset. Includes LMDB data pipeline for efficient preprocessing and Visdom integration for training visualization, plus optional C++ inference backend.
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MIT
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Last pushed
Apr 26, 2021
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