Methods › General › Attention Mechanisms › DMA

Dual Multimodal Attention

DMA

39 papers tagged archive 2025-07-28

Introduced by Lisai Zhang et al. in Text-Guided Neural Image Inpainting

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

In image inpainting task, the mechanism extracts complementary features from the word embedding in two paths by reciprocal attention, which is done by comparing the descriptive text and complementary image areas through reciprocal attention.

PaperSource

Papers archive 2025-07-28

30 shown of 39, 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 35 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
Position3
Fairness2
Object Detection2
Quantization2
Scene Understanding2
Semantic Segmentation2
object-detection2
3D Object Detection1
Data Augmentation1
Data Poisoning1
Decoder1
Deep Learning1
Descriptive1
Diversity1
Federated Learning1
GPU1
Graph Attention1
Image Generation1
Image Inpainting1
Image Segmentation1

Usage over time archive 2025-07-28

Papers per year tagged with DMA: 2020 to 2025, peak 14 14 0 2020: 1 paper 2020 2021: 3 papers 2021 2022: 6 papers 2022 2023: 8 papers 2023 2024: 14 papers 2024 2025: 7 papers 2025
Papers per year the archive tags with this method, by the paper's archive date (39 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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