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[PMLR 2017] Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
MAML原创 2019-11-24 13:18:31 · 870 阅读 · 0 评论 -
[survey 2018] Small Sample Learning in Big Data Era
综述原创 2020-03-06 21:41:02 · 620 阅读 · 1 评论 -
[ICLR 2017] Optimization as A model for Few Shot Learning
Meta-LSTM用LSTM实现FSL网络的梯度下降原创 2019-11-23 21:49:17 · 512 阅读 · 0 评论 -
[ICCV 2019] Few-Shot Learning with Global Class Representations
度量学习、全局类别表示原创 2019-11-27 23:43:36 · 1914 阅读 · 3 评论 -
[arxiv 2020] Unsupervised Few-Shot Learning Via Self-supervised Training
自监督学习解决小样本问题原创 2020-03-02 22:00:43 · 986 阅读 · 2 评论 -
[arxiv 2020] Few-Shot Class-Incremental Learning via Feature Space Composition
小样本类别增量学习——组合嵌入空间原创 2020-07-02 19:56:21 · 1631 阅读 · 0 评论 -
[NIPS 2019] Meta-Reinforced Synthetic Data for One-Shot Fine-Grained Visual Recognition
元学习：分类、混合策略（真实和生成图像）原创 2019-11-26 15:40:39 · 775 阅读 · 0 评论 -
[CVPR 2019] Meta-Transfer Learning for Few-Shot Learning
CVPR 2019 MTL原创 2019-11-23 11:20:16 · 4937 阅读 · 0 评论 -
[ICCV 2019] Few-shot Object Detection via Feature Reweighting
第一篇研究fsl目标检测的论文原创 2019-12-07 15:41:25 · 2558 阅读 · 3 评论 -
[ICLR 2020] cross-domain few-shot classification via learned feature-wise transformation
提出特征变换层模拟不同域特征分布原创 2020-03-06 20:57:32 · 3875 阅读 · 2 评论 -
20211026 FSL 自适应嵌入空间
FEAT 嵌入空间适配原创 2021-10-27 10:43:18 · 304 阅读 · 0 评论 -
Few-shot Learning
方法排名，方法归类，综述等原创 2021-09-06 22:04:15 · 225 阅读 · 0 评论 -
CVPR21 Semantic-aware Knowledge Distillation for FSCIL
小样本增量学习原创 2021-03-12 20:42:28 · 6428 阅读 · 4 评论 -
TPAMI21 MgSvF: Multi-Grained Slow vs. Fast Framework for Few-Shot Class-Incremental L
小样本增量学习, 频率解耦原创 2020-12-26 09:04:28 · 1549 阅读 · 3 评论