En-De-Cap: An Encoder Decoder model for Image Captioning

Research article (2021 5th International Conference on Computing Methodologies and Communication (ICCMC), 2021) · cited 11× · AI/ML
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En-De-Cap: An Encoder Decoder model for Image Captioning

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En-De-Cap: An Encoder Decoder model for Image Captioning is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). En-De-Cap: An Encoder Decoder model for Image Captioning. Retrieved May 24, 2026, from https://4ort.xyz/entity/en-de-cap-an-encoder-decoder-model-for-image-captioning
MLA “En-De-Cap: An Encoder Decoder model for Image Captioning.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/en-de-cap-an-encoder-decoder-model-for-image-captioning.
BibTeX @misc{4ortxyz_en-de-cap-an-encoder-decoder-model-for-image-captioning_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{En-De-Cap: An Encoder Decoder model for Image Captioning}}, year = {2026}, url = {https://4ort.xyz/entity/en-de-cap-an-encoder-decoder-model-for-image-captioning}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): En-De-Cap: An Encoder Decoder model for Image Captioning — https://4ort.xyz/entity/en-de-cap-an-encoder-decoder-model-for-image-captioning (retrieved 2026-05-24)

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