3 citations · 3 across the 1 of their papers we have counts for
3 papers
cs.CV2020
Negative Margin Matters: Understanding Margin in Few-shot Classification
Bin Liu, Yue Cao, Yutong Lin +4
This paper introduces a negative margin loss to metric learning based few-shot learning methods. The negative margin loss significantly outperforms regular softmax loss, and achiev…
cs.CV2019★ 3 cited
Deep Triplet Quantization
Bin Liu, Yue Cao, Mingsheng Long +2
Deep hashing establishes efficient and effective image retrieval by end-to-end learning of deep representations and hash codes from similarity data. We present a compact coding sol…
cs.CV2018
Deep Metric Transfer for Label Propagation with Limited Annotated Data
Bin Liu, Zhirong Wu, Han Hu +1
We study object recognition under the constraint that each object class is only represented by very few observations. Semi-supervised learning, transfer learning, and few-shot reco…