A specialized loss mitigates hubness bias in 3D zero-shot learning and sets new state-of-the-art results on ModelNet40, ModelNet10, McGill, and SHREC2015 for both ZSL and GZSL.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CV 1years
2019 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Mitigating the Hubness Problem for Zero-Shot Learning of 3D Objects
A specialized loss mitigates hubness bias in 3D zero-shot learning and sets new state-of-the-art results on ModelNet40, ModelNet10, McGill, and SHREC2015 for both ZSL and GZSL.