GMMFormer: Gaussian-Mixture-Model Based Transformer for Efficient Partially Relevant Video Retrieval
Summary
GMMFormer: Gaussian-Mixture-Model Based Transformer for Efficient Partially Relevant Video Retrieval is a scholarly article[1].
Key Facts
GMMFormer: Gaussian-Mixture-Model Based Transformer for Efficient Partially Relevant Video Retrieval's instance of is recorded as scholarly article[2].
References
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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.
APA4ort.xyz Knowledge Graph. (2026). GMMFormer: Gaussian-Mixture-Model Based Transformer for Efficient Partially Relevant Video Retrieval. Retrieved May 24, 2026, from https://4ort.xyz/entity/gmmformer-gaussian-mixture-model-based-transformer-for-efficient-partially-relevant-video-retrieval
MLA“GMMFormer: Gaussian-Mixture-Model Based Transformer for Efficient Partially Relevant Video Retrieval.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/gmmformer-gaussian-mixture-model-based-transformer-for-efficient-partially-relevant-video-retrieval.
BibTeX@misc{4ortxyz_gmmformer-gaussian-mixture-model-based-transformer-for-efficient-partially-relevant-video-retrieval_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{GMMFormer: Gaussian-Mixture-Model Based Transformer for Efficient Partially Relevant Video Retrieval}}, year = {2026}, url = {https://4ort.xyz/entity/gmmformer-gaussian-mixture-model-based-transformer-for-efficient-partially-relevant-video-retrieval}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): GMMFormer: Gaussian-Mixture-Model Based Transformer for Efficient Partially Relevant Video Retrieval — https://4ort.xyz/entity/gmmformer-gaussian-mixture-model-based-transformer-for-efficient-partially-relevant-video-retrieval (retrieved 2026-05-24)
