Deep neural network for traffic sign recognition systems: An analysis of spatial transformers and stochastic optimisation methods

Neural Networks 2018 Álvaro Arcos-GarcíaJuan A. Álvarez-GarcíaLuis M. Soria-Morillo

This paper presents a Deep Learning approach for traffic sign recognition systems. Several classification experiments are conducted over publicly available traffic sign datasets from Germany and Belgium using a Deep Neural Network which comprises Convolutional layers and Spatial Transformer Networks... (read more)

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Results from the Paper


TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK LEADERBOARD
Traffic Sign Recognition GTSRB CNN with 3 Spatial Transformers Accuracy 99.71% # 1