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Flamingo: a Visual Language Model for Few-Shot Learning
[article]
2022
arXiv
pre-print
Building models that can be rapidly adapted to novel tasks using only a handful of annotated examples is an open challenge for multimodal machine learning research. We introduce Flamingo, a family of Visual Language Models (VLM) with this ability. We propose key architectural innovations to: (i) bridge powerful pretrained vision-only and language-only models, (ii) handle sequences of arbitrarily interleaved visual and textual data, and (iii) seamlessly ingest images or videos as inputs. Thanks
arXiv:2204.14198v2
fatcat:7bm2ezixazgbxalzu4bqgulcim