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Bilinear Attention

Bi-attention

11 papers tagged archive 2025-07-28

Introduced by Pengfei Fang et al. in Bilinear Attention Networks for Person Retrieval

archive 2025-07-28 Description, source and code snippet are the archive's method entry.

Bi-attention employs the attention-in-attention (AiA) mechanism to capture second-order statistical information: the outer point-wise channel attention vectors are computed from the output of the inner channel attention.

PaperSource

Papers archive 2025-07-28

11 shown of 11, newest first. Repository counts are the archive's code-links table. A Syntology line states what Syntology ran from that paper's harvested code; it is per sample and not a correctness claim.

Tasks archive 2025-07-28

20 shown of 21 tasks the archive attaches to papers tagged with this method, by distinct papers. A task without a page in the catalog is plain text.

TaskPapers
ERP2
Generative Adversarial Network2
3D Reconstruction1
3D geometry1
Binarization1
Decision Making1
Depth Estimation1
Disease Prediction1
Few-Shot Learning1
Graph Neural Network1
Knowledge Graphs1
Machine Reading Comprehension1
Metric Learning1
Multi-Task Learning1
Person Retrieval1
Question Answering1
Retrieval1
Semantic Segmentation1
Sentence1
Surface Normal Estimation1

Usage over time archive 2025-07-28

Papers per year tagged with Bi-attention: 2019 to 2024, peak 4 4 0 2019: 1 paper 2019 2020: 1 paper 2020 2021: 0 papers 2021 2022: 4 papers 2022 2023: 2 papers 2023 2024: 3 papers 2024
Papers per year the archive tags with this method, by the paper's archive date (11 dated). Bars are counts, not a trend claim.

Components: the archive holds no method-to-method composition, so PwC's Components table cannot be rebuilt; the Papers list carries no Results column for the same reason (the archive does not join its leaderboard rows to method tags).

Categories archive 2025-07-28

Attention Mechanisms

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