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DDaNet: Dual-Path Depth-Aware Attention Network for Fingerspelling Recognition Using RGB-D Images

Research article (IEEE Access, 2020) · cited 14× · AI/ML
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DDaNet: Dual-Path Depth-Aware Attention Network for Fingerspelling Recognition Using RGB-D Images

Summary

DDaNet: Dual-Path Depth-Aware Attention Network for Fingerspelling Recognition Using RGB-D Images is a scholarly article[1].

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  • DDaNet: Dual-Path Depth-Aware Attention Network for Fingerspelling Recognition Using RGB-D Images's instance of is recorded as scholarly article[2].

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  1. [2] ↑ . wikidata.org.

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). DDaNet: Dual-Path Depth-Aware Attention Network for Fingerspelling Recognition Using RGB-D Images. Retrieved May 24, 2026, from https://4ort.xyz/entity/ddanet-dual-path-depth-aware-attention-network-for-fingerspelling-recognition-using-rgb-d-images
MLA “DDaNet: Dual-Path Depth-Aware Attention Network for Fingerspelling Recognition Using RGB-D Images.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/ddanet-dual-path-depth-aware-attention-network-for-fingerspelling-recognition-using-rgb-d-images.
BibTeX @misc{4ortxyz_ddanet-dual-path-depth-aware-attention-network-for-fingerspelling-recognition-using-rgb-d-images_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{DDaNet: Dual-Path Depth-Aware Attention Network for Fingerspelling Recognition Using RGB-D Images}}, year = {2026}, url = {https://4ort.xyz/entity/ddanet-dual-path-depth-aware-attention-network-for-fingerspelling-recognition-using-rgb-d-images}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): DDaNet: Dual-Path Depth-Aware Attention Network for Fingerspelling Recognition Using RGB-D Images — https://4ort.xyz/entity/ddanet-dual-path-depth-aware-attention-network-for-fingerspelling-recognition-using-rgb-d-images (retrieved 2026-05-24)

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