Object affordance detection with boundary-preserving network for robotic manipulation tasks
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Link
https://link.springer.com/content/pdf/10.1007/s00521-022-07446-4.pdf
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4. Do TT, Nguyen A, Reid I (2018) AffordanceNet: an end-to-end deep learning approach for object affordance detection. In: 2018 IEEE international conference on robotics and automation (ICRA), 21–25 May 2018, pp 5882–5889
5. Chu F, Xu R, Vela PA (2019) Learning affordance segmentation for real-world robotic manipulation via synthetic images. IEEE Robot Autom Lett 4(2):1140–1147. https://doi.org/10.1109/LRA.2019.2894439
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