MaskRNN: Instance Level Video Object Segmentation

@inproceedings{Hu2017MaskRNNIL,
  title={MaskRNN: Instance Level Video Object Segmentation},
  author={Yuan-Ting Hu and Jia-Bin Huang and Alexander G. Schwing},
  booktitle={NIPS},
  year={2017}
}
Instance level video object segmentation is an important technique for video editing and compression. To capture the temporal coherence, in this paper, we develop MaskRNN, a recurrent neural net approach which fuses in each frame the output of two deep nets for each object instance -- a binary segmentation net providing a mask and a localization net providing a bounding box. Due to the recurrent component and the localization component, our method is able to take advantage of long-term temporal… CONTINUE READING

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