ECA introduces continual alignment with MoQ, FeDEx, and DR for exemplar-free incremental learning in open-ended image-to-text generation, evaluated on four new benchmarks showing reduced forgetting.
arXiv preprint arXiv:2204.04662 , year=
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ECA: Efficient Continual Alignment for Open-Ended Image-to-Text Generation
ECA introduces continual alignment with MoQ, FeDEx, and DR for exemplar-free incremental learning in open-ended image-to-text generation, evaluated on four new benchmarks showing reduced forgetting.