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November 2024
Deconfounded hierarchical multi-granularity classification
- Ziyu Zhao,
- Leilei Gan,
- Tao Shen,
- Kun Kuang,
- Fei Wu
Computer Vision and Image Understanding (CVIU), Volume 248, Issue Chttps://doi.org/10.1016/j.cviu.2024.104108
Abstract
Hierarchical multi-granularity classification (HMC) assigns labels at varying levels of detail to images using a structured hierarchy that categorizes labels from coarse to fine, such as [“Suliformes”, “Fregatidae”, “Frigatebird”]. Traditional ...
Highlights

We examine the causal mechanisms behind hierarchical multi-granularity classification (HMC).
We propose Deconf-HMC for eliminating confounding biases inherent in HMC.
Experimental results demonstrate the superiority of the proposed ...
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