most citedFew-Shot Learning Meets Transformer: Unified Query-Support Transformers for Few-Shot Classification

3 citations · 4 across the 5 of their papers we have counts for

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cs.CV2023

MAPS: A Noise-Robust Progressive Learning Approach for Source-Free Domain Adaptive Keypoint Detection

Yuhe Ding, Jian Liang, Bo Jiang +2

Existing cross-domain keypoint detection methods always require accessing the source data during adaptation, which may violate the data privacy law and pose serious security concer…

cs.CV2022★ 3 cited

Few-Shot Learning Meets Transformer: Unified Query-Support Transformers for Few-Shot Classification

Xixi Wang, Xiao Wang, Bo Jiang +1

Few-shot classification which aims to recognize unseen classes using very limited samples has attracted more and more attention. Usually, it is formulated as a metric learning prob…