Learning High-Order Features for Fine-Grained Visual Categorization with Causal Inference

Recently, causal models have gained significant attention in natural language processing (NLP) and computer vision (CV) due to their capability of capturing features with causal relationships. This study addresses Fine-Grained Visual Categorization (FGVC) by incorporating high-order feature fusions...

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Egile Nagusiak:	Yuhang Zhang, Yuan Wan, Jiahui Hao, Zaili Yang, Huanhuan Li
Formatua:	Artigo
Hizkuntza:	Inglês
Argitaratua:	MDPI AG 2025-04-01
Saila:	Mathematics
Gaiak:	causal models causal inference fine-grained visual categorization feature fusion causal intervention
Sarrera elektronikoa:	https://www.mdpi.com/2227-7390/13/8/1340
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