MMAG: Mutually Motivated Attention Gates for Simultaneous Extraction of Contextual and Spatial Information from a Monocular Image

Author:

Singh Aditya1ORCID,Mohan Saloni1ORCID,Kushwaha Vandana1ORCID,Nandi G C1ORCID

Affiliation:

1. IIIT Allahabad, IN

Publisher

ACM

Reference28 articles.

1. Recent advances in evolutionary and bio-inspired adaptive robotics: Exploiting embodied dynamics

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3. Joint Task-Recursive Learning for RGB-D Scene Understanding

4. [4]Simonyan, K. and Zisserman, A. (2014). Very deep convolutional networks for large-scale image recognition. CoRR, abs/1409.1556

5. [5] Ronneberger, O., Fischer, P., Brox, T. (2015). U-Net: Convolutional Networks for Biomedical Image Segmentation. In: Navab, N., Hornegger, J., Wells, W., Frangi, A. (eds) Medical Image Computing and Computer-Assisted Intervention – MICCAI 2015. MICCAI 2015. Lecture Notes in Computer Science(), vol 9351. Springer, Cham

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