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BSNet: Bi-Similarity Network for Few-shot Fine-grained Image Classification

Research article (IEEE Transactions on Image Processing, 2020) · cited 202× · AI/ML
academia openalex:W3107763055
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BSNet: Bi-Similarity Network for Few-shot Fine-grained Image Classification

Summary

BSNet: Bi-Similarity Network for Few-shot Fine-grained Image Classification is a scholarly article[1].

Key Facts

  • BSNet: Bi-Similarity Network for Few-shot Fine-grained Image Classification's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

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  1. [1] ↑ . Wikidata. wikidata.org.

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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). BSNet: Bi-Similarity Network for Few-shot Fine-grained Image Classification. Retrieved May 24, 2026, from https://4ort.xyz/entity/bsnet-bi-similarity-network-for-few-shot-fine-grained-image-classification
MLA “BSNet: Bi-Similarity Network for Few-shot Fine-grained Image Classification.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/bsnet-bi-similarity-network-for-few-shot-fine-grained-image-classification.
BibTeX @misc{4ortxyz_bsnet-bi-similarity-network-for-few-shot-fine-grained-image-classification_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{BSNet: Bi-Similarity Network for Few-shot Fine-grained Image Classification}}, year = {2026}, url = {https://4ort.xyz/entity/bsnet-bi-similarity-network-for-few-shot-fine-grained-image-classification}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): BSNet: Bi-Similarity Network for Few-shot Fine-grained Image Classification — https://4ort.xyz/entity/bsnet-bi-similarity-network-for-few-shot-fine-grained-image-classification (retrieved 2026-05-24)

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