Fine-Grained Image Retrieval

Learning from the Unambiguous: Selective Relation Distillation for Asymmetric Fine-Grained Retrieval
Most deep learning-based image retrieval methods rely on cloud-deployed models, leading to substantial transmission latency and high …
PDF 引用 DOI
RFHNet: Relational and Frequency-Aware Hashing Network for Large-Scale Fine-Grained Food Image Retrieval
Fine-grained food image retrieval is a key task in computational gastronomy, with applications in food traceability, dietary …
PDF 引用 DOI
SAHNet: A Spectral-Aware Hashing Network for Large-Scale Fine-Grained Food Image Retrieval
Fine-grained food image retrieval is vital for applications such as dietary monitoring and personalized nutrition. While hashing-based …
PDF 引用 DOI