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access icon free Video object segmentation via attention-modulating networks

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References

    1. 1)
      • 2. Perazzi, F., Khoreva, A., Benenson, R., et al: ‘Learning video object segmentation from static images’. The IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), Honolulu, HI, USA, July 2017, pp. 34913500.
    2. 2)
      • 8. Hu, J., Shen, L., Sun, G.: ‘Squeeze-and-excitation networks’. The IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), Salt Lake City, UT, USA, June 2018, pp. 71327141.
    3. 3)
      • 6. Simonyan, K., Zisserman, A.: ‘Very deep convolutional networks for large-scale image recognition’. Int. Conf. on Learning Representations (ICLR), San Diego, CA, USA, May 2015.
    4. 4)
      • 10. Lin, T.Y., Goyal, P., Girshick, R., et al: ‘Focal loss for dense object detection’. IEEE International Conference on Computer Vision (ICCV), Venice, Italy, October 2017.
    5. 5)
      • 11. Pont-Tuset, J., Perazzi, F., Caelles, S., et al: ‘The 2017 davis challenge on video object segmentation’. The IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), Honolulu, HI, USA, July 2017.
    6. 6)
      • 7. Woo, S., Park, J., Lee, J.Y., et al: ‘Cbam: convolutional block attention module’. European Conf. on Computer Vision (ECCV), Munich, Germany, September 2018, pp. 319.
    7. 7)
      • 1. Caelles, S., Maninis, K.K., Pont-Tuset, J., et al: ‘One-shot video object segmentation’. The IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), Honolulu, HI, USA, July 2017, pp. 53205329.
    8. 8)
      • 4. Cheng, J., Tsai, Y.H., Hung, W.C., et al: ‘Fast and accurate online video object segmentation via tracking parts’. The IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), Salt Lake City, UT, USA, June 2018, pp. 74157424.
    9. 9)
      • 3. Jampani, V., Gadde, R., Gehler, P.V.: ‘Video propagation networks’. The IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), Honolulu, HI, USA, July 2017, pp. 31543164.
    10. 10)
      • 5. Yang, L., Wang, Y., Xiong, X., et al: ‘Efficient video object segmentation via network modulation’. The IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), Salt Lake City, UT, USA, June 2018, pp. 64996507.
    11. 11)
      • 9. Li, H., Xiong, P., An, J., et al: ‘Pyramid Attention Network for Semantic Segmentation’, British Machine Vision Conference (BMVC), Newcastle Upon Tyne, UK, September 2018, arXiv preprint arXiv:1805.10180.
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