Traffic Sign Classification Using Deep Inception Based Convolutional Networks

  title={Traffic Sign Classification Using Deep Inception Based Convolutional Networks},
  author={Mrinal Haloi},
In this work, we propose a novel deep network for traffic sign classification that achieves outstanding performance on GTSRB surpassing all previous methods. Our deep network consists of spatial transformer layers and a modified version of inception module specifically designed for capturing local and global features together. This features adoption allows our network to classify precisely intraclass samples even under deformations. Use of spatial transformer layer makes this network more… CONTINUE READING
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