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Image captioning model using attention and object features to mimic human image understanding

Research article (Journal Of Big Data, 2022) · cited 106× · AI/ML
academia openalex:W4213189167
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Image captioning model using attention and object features to mimic human image understanding

Summary

Image captioning model using attention and object features to mimic human image understanding is a scholarly article[1].

Key Facts

  • Image captioning model using attention and object features to mimic human image understanding's instance of is recorded as scholarly article[2].

References

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Image captioning model using attention and object features to mimic human image understanding. Retrieved May 24, 2026, from https://4ort.xyz/entity/image-captioning-model-using-attention-and-object-features-to-mimic-human-image-understanding
MLA “Image captioning model using attention and object features to mimic human image understanding.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/image-captioning-model-using-attention-and-object-features-to-mimic-human-image-understanding.
BibTeX @misc{4ortxyz_image-captioning-model-using-attention-and-object-features-to-mimic-human-image-understanding_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Image captioning model using attention and object features to mimic human image understanding}}, year = {2026}, url = {https://4ort.xyz/entity/image-captioning-model-using-attention-and-object-features-to-mimic-human-image-understanding}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Image captioning model using attention and object features to mimic human image understanding — https://4ort.xyz/entity/image-captioning-model-using-attention-and-object-features-to-mimic-human-image-understanding (retrieved 2026-05-24)

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