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most citedAligning Visual Prototypes with BERT Embeddings for Few-Shot Learning

3 citations · 5 across the 7 of their papers we have counts for

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cs.CV2022★ 1 cited

An Efficient COarse-to-fiNE Alignment Framework @ Ego4D Natural Language Queries Challenge 2022

Zhijian Hou, Wanjun Zhong, Lei Ji +6

This technical report describes the CONE approach for Ego4D Natural Language Queries (NLQ) Challenge in ECCV 2022. We leverage our model CONE, an efficient window-centric COarse-to…