TACO proposes Relative Structure Distillation and a lightweight specialization projection to mitigate inconsistency between fine-tuning and evaluation objectives in open-vocabulary video recognition, claiming state-of-the-art results on cross-dataset and base-to-novel benchmarks.
Enabling multimodal generation on clip via vision-language knowledge distillation.arXiv preprint arXiv:2203.06386, 2022
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TACO: Towards Task-Consistent Open-Vocabulary Adaptation in Video Recognition
TACO proposes Relative Structure Distillation and a lightweight specialization projection to mitigate inconsistency between fine-tuning and evaluation objectives in open-vocabulary video recognition, claiming state-of-the-art results on cross-dataset and base-to-novel benchmarks.