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Image captioning with deep LSTM based on sequential residual

Research article (2017 IEEE International Conference on Multimedia and Expo (ICME), 2017) · cited 27× · AI/ML
academia openalex:W2751153269
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Image captioning with deep LSTM based on sequential residual

Summary

Image captioning with deep LSTM based on sequential residual is a scholarly article[1].

Key Facts

  • Image captioning with deep LSTM based on sequential residual's instance of is recorded as scholarly article[2].

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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 with deep LSTM based on sequential residual. Retrieved May 24, 2026, from https://4ort.xyz/entity/image-captioning-with-deep-lstm-based-on-sequential-residual
MLA “Image captioning with deep LSTM based on sequential residual.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/image-captioning-with-deep-lstm-based-on-sequential-residual.
BibTeX @misc{4ortxyz_image-captioning-with-deep-lstm-based-on-sequential-residual_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Image captioning with deep LSTM based on sequential residual}}, year = {2026}, url = {https://4ort.xyz/entity/image-captioning-with-deep-lstm-based-on-sequential-residual}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Image captioning with deep LSTM based on sequential residual — https://4ort.xyz/entity/image-captioning-with-deep-lstm-based-on-sequential-residual (retrieved 2026-05-24)

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