Multimodal machine learning¶
Baltrušaitis, T., Ahuja, & Morency, L. -. (2019). Multimodal machine learning: A survey and taxonomy. IEEE Transactions on Pattern Analysis and Machine Intelligence, 41(2), 423-443.
Cited by¶
1 citation across 1 artifact.
Each citation links to the sentence it supports in the citing article.
Primes¶
- Representational Modality
- This prime focuses on the structure of single modality choice and transfer; multimodality is downstream, concerning how modalities interact, reinforce, or contradict each other—a downstream layer Baltrušaitis, Ahuja, and Morency (2018) taxonomize in their survey of multimodal machine learning challenges (representation, translation, alignment, fusion, co-learning).
This sourceComprehensive survey distinguishing single-modality processing from the combinatorial challenges of representation, translation, alignment, fusion, and co-learning across modalities.
- This prime focuses on the structure of single modality choice and transfer; multimodality is downstream, concerning how modalities interact, reinforce, or contradict each other—a downstream layer Baltrušaitis, Ahuja, and Morency (2018) taxonomize in their survey of multimodal machine learning challenges (representation, translation, alignment, fusion, co-learning).
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