ScanObjectNN

Zero-shot learning (ZSL) aims to classify objects that are not observed or seen during training. It relies on class semantic description to transfer knowledge from the seen classes to the unseen classes.

Data and Resources

Cite this as

Mikaela Angelina Uy, Quang-Hieu Pham, Binh-Son Hua, Duc Thanh Nguyen, Sai-Kit Yeung (2024). Dataset: ScanObjectNN. https://doi.org/10.57702/ohxx4y9s

DOI retrieved: November 25, 2024

Additional Info

Field Value
Created November 25, 2024
Last update December 2, 2024
Defined In https://doi.org/10.48550/arXiv.2007.11679
Citation
  • https://doi.org/10.48550/arXiv.2406.02202
  • https://doi.org/10.48550/arXiv.2401.02610
  • https://doi.org/10.1145/3581783.3611767
  • https://doi.org/10.48550/arXiv.2205.15210
  • https://doi.org/10.48550/arXiv.2209.05924
  • https://doi.org/10.48550/arXiv.2307.05325
  • https://doi.org/10.48550/arXiv.2310.11657
  • https://doi.org/10.48550/arXiv.2109.09337
  • https://doi.org/10.48550/arXiv.2104.04980
  • https://doi.org/10.1145/3581783.3612106
  • https://doi.org/10.48550/arXiv.2303.06678
Author Mikaela Angelina Uy
More Authors
Quang-Hieu Pham
Binh-Son Hua
Duc Thanh Nguyen
Sai-Kit Yeung
Homepage https://scanobjectnn.com/