Semantic Segmentation of Video Sequences with Convolutional LSTMs

@article{Pfeuffer2019SemanticSO,
  title={Semantic Segmentation of Video Sequences with Convolutional LSTMs},
  author={Andreas Pfeuffer and K. Schulz and K. Dietmayer},
  journal={2019 IEEE Intelligent Vehicles Symposium (IV)},
  year={2019},
  pages={1441-1447}
}
  • Andreas Pfeuffer, K. Schulz, K. Dietmayer
  • Published 2019
  • Computer Science
  • 2019 IEEE Intelligent Vehicles Symposium (IV)
  • Most of the semantic segmentation approaches have been developed for single image segmentation, and hence, video sequences are currently segmented by processing each frame of the video sequence separately. The disadvantage of this is that temporal image information is not considered, which improves the performance of the segmentation approach. One possibility to include temporal information is to use recurrent neural networks. However, there are only a few approaches using recurrent networks… CONTINUE READING
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    References

    SHOWING 1-10 OF 23 REFERENCES
    Scene labeling with LSTM recurrent neural networks
    • 264
    • PDF
    Recurrent Fully Convolutional Networks for Video Segmentation
    • 56
    • PDF
    SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
    • 5,475
    • PDF
    Semantic Segmentation of RGBD Videos with Recurrent Fully Convolutional Neural Networks
    • 9
    • Highly Influential
    • PDF
    Fully Convolutional Networks for Semantic Segmentation
    • 9,026
    • Highly Influential
    • PDF
    Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
    • 2,564
    • PDF
    DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs
    • 6,198
    • Highly Influential
    • PDF
    Large-Scale Video Classification with Convolutional Neural Networks
    • 4,379
    • PDF
    ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation
    • 853
    • PDF