论文:Han-Jia Ye, Hexiang Hu, De-Chuan Zhan, Fei Sha. Few-Shot Learning via Embedding Adaptation with Set-to-Set Functions. CVPR, 2020 在深度学习时代,基于少量数据学习视觉模型具有非常强大的挑战性。目前大部分小样本学习方法都是基于已知类数据学习视觉模型,然后迁移到
Few-shot segmentation via cycle-consistent transformer. Advances in Neural Information Processing Systems, 2021, 34: 21984-21996. Ye H J, Hu H, Zhan D C, et al. Few-shot learning via embedding adaptation with set-to-set functions,Proceedings of the IEEE/CVF Conference on Computer Vision and...
Meta-learning with latent embedding optimization, in ICLR, 2019. Amortized bayesian meta-learning, in ICLR, 2019. The effects of negative adaptation in model-agnostic meta-learning, arXiv preprint, 2018. Few-shot human motion prediction via meta-learning, in ECCV, 2018. Recasting gradient-based ...
Learning from one example through shared densities on transforms (2000), pp. 1464-1471 View in ScopusGoogle Scholar 11. H. J. Ye, H. Hu, D. C. Zhan, F. Sha Few-shot learning via embedding adaptation with set-to-set functions (2020), pp. 8805-8814 CrossrefView in ScopusGoogle Schol...
Few-shot learning via embedding adaptation with set-to-set functions Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (2020), pp. 8805-8814, 10.1109/CVPR42600.2020.00883 arXiv:1812.03664 View in ScopusGoogle Scholar [30] Y.-X. Wang, R. Girshick, M...
We denote this model as FEAT (few-shot\nembedding adaptation w/ Transformer) and validate it on both the standard\nfew-shot classification benchmark and four extended few-shot learning settings\nwith essential use cases, i.e., cross-domain, transductive, generalized\nfew-shot learning, and ...
Learning to learn dense gaussian processes for few-shot learning. Advances in Neural Information Processing Sys- tems, 34, 2021. [40] Han-Jia Ye, Hexiang Hu, De-Chuan Zhan, and Fei Sha. Few- shot learning via embedding adaptation with set-to-set func- tions. In IEEE/CVF ...
In Interna- tional Conference on Learning Representations, 2021. 6 [54] Han-Jia Ye, Hexiang Hu, De-Chuan Zhan, and Fei Sha. Few- shot learning via embedding adaptation with set-to-set func- tions. In Proceedings of the IEEE/CVF Conference on C...
ESFR: Unsupervised Embedding Adaptation via Early-Stage Feature Reconstruction for Few-Shot Classification 论文链接: arxiv.org/abs/2106.1148 开源代码: github.com/moving…阅读全文 赞同41 1 条评论 分享收藏 举一隅而以三隅反,MMFewShot 带你走近少样本学习【MMFewshot重磅开源!】 ...
sicara/easy-few-shot-learning ↳ Quickstart in Colab 1,151 Alibaba-AAIG/SSL-FEW-SHOT 171 danielshalam/bpa 58 DanielShalam/SOT 58 See all 6implementations Tasks Edit AddRemove Datasets CUB-200-2011mini-ImagenetOffice-HometieredImageNetminiImageNet ...