The article introduces the CSQA-Net, focusing on improving fine-grained visual categorization by addressing the quality of extracted visual representations. The network includes modules like MPMSCA and MLSQE to capture discriminative features and evaluate semantic quality progressively. Experiments show superior performance on popular FGVC datasets.
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by Qin Xu,Siton... at arxiv.org 03-18-2024
https://arxiv.org/pdf/2403.10298.pdfDeeper Inquiries