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DCMSTRD: End-to-end Dense Captioning via Multi-Scale Transformer Decoding

Research article (IEEE Transactions on Multimedia, 2024) · cited 35× · AI/ML
academia openalex:W4392151980
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DCMSTRD: End-to-end Dense Captioning via Multi-Scale Transformer Decoding

Summary

DCMSTRD: End-to-end Dense Captioning via Multi-Scale Transformer Decoding is a scholarly article[1].

Key Facts

  • DCMSTRD: End-to-end Dense Captioning via Multi-Scale Transformer Decoding'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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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). DCMSTRD: End-to-end Dense Captioning via Multi-Scale Transformer Decoding. Retrieved May 24, 2026, from https://4ort.xyz/entity/dcmstrd-end-to-end-dense-captioning-via-multi-scale-transformer-decoding
MLA “DCMSTRD: End-to-end Dense Captioning via Multi-Scale Transformer Decoding.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/dcmstrd-end-to-end-dense-captioning-via-multi-scale-transformer-decoding.
BibTeX @misc{4ortxyz_dcmstrd-end-to-end-dense-captioning-via-multi-scale-transformer-decoding_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{DCMSTRD: End-to-end Dense Captioning via Multi-Scale Transformer Decoding}}, year = {2026}, url = {https://4ort.xyz/entity/dcmstrd-end-to-end-dense-captioning-via-multi-scale-transformer-decoding}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): DCMSTRD: End-to-end Dense Captioning via Multi-Scale Transformer Decoding — https://4ort.xyz/entity/dcmstrd-end-to-end-dense-captioning-via-multi-scale-transformer-decoding (retrieved 2026-05-24)

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