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cs.CV2021★ 1 cited
Modular Adaptation for Cross-Domain Few-Shot Learning
Xiao Lin, Meng Ye, Yunye Gong +4
Adapting pre-trained representations has become the go-to recipe for learning new downstream tasks with limited examples. While literature has demonstrated great successes via repr…
cs.CV2020
Hybrid Consistency Training with Prototype Adaptation for Few-Shot Learning
Meng Ye, Xiao Lin, Giedrius Burachas +2
Few-Shot Learning (FSL) aims to improve a model's generalization capability in low data regimes. Recent FSL works have made steady progress via metric learning, meta learning, repr…
cs.CV2018
Multi-Label Zero-Shot Learning with Transfer-Aware Label Embedding Projection
Meng Ye, Yuhong Guo
Zero-shot learning transfers knowledge from seen classes to novel unseen classes to reduce human labor of labelling data for building new classifiers. Much effort on zero-shot lear…