Jul 15, 2019 · In this paper, we therefore propose a loss to specifically address the hubness problem. Our proposed method is effective for both Zero-Shot and ...
This paper proposes a loss to specifically address the hubness problem of Zero-Shot Learning, and performs extensive evaluations on the challenging datasets ...
Jul 15, 2019 · Zero-Shot Learning (ZSL) approaches can assist such systems in recognizing previously unseen objects. Applying. ZSL to 3D point cloud objects is ...
After illustrating the problem empirically, we propose a simple method to correct it by taking the proximity distribution of potential neighbours across many ...
Mar 5, 2024 · 3D point cloud에 Zero-Shot Learning을 적용하는 것은 3D vision에서 매력적인 주제이지만,. 이것은 hubness problem이 2D보다 강하게 나타난다. 이것의 ...
In this paper, we identify some of the challenges and apply 2D Zero-Shot Learning (ZSL) methods in the 3D domain to analyze the performance of existing models.
Mitigating the Hubness Problem for Zero-Shot Learning of 3D Objects · 来自arXiv.org. 作者. A Cheraghian，S Rahman，D Campbell，L Petersson. 摘要. The development ...
A simple method is proposed to correct the neighbourhoods of the mapped elements are strongly polluted by hubs, vectors that tend to be near a high ...
Missing: 3D | Show results with:3D
Mitigating the hubness problem for zero-shot learning of 3d objects. A Cheraghian, S Rahman, D Campbell, L Petersson. arXiv preprint arXiv:1907.06371, 2019. 45 ...
This issue can be resolved by adopting a zero-shot learning (ZSL) approach for 3D data, similar to the 2D image version of the same problem. ZSL attempts to ...
Missing: Mitigating Hubness