Few-shot Visual Learning with Contextual Memory and Fine-grained Calibration
暂无分享,去创建一个
Wei Liu | Qingyu Zhang | Xianglong Liu | Aishan Liu | Yuqing Ma | Shihao Bai | Weimin Chen | Xianglong Liu | Wei Liu | Qingjie Zhang | Aishan Liu | Yuqing Ma | Shihao Bai | Weimin Chen
[1] Lei Wang,et al. Revisiting Local Descriptor Based Image-To-Class Measure for Few-Shot Learning , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[2] S. Hochstein,et al. The reverse hierarchy theory of visual perceptual learning , 2004, Trends in Cognitive Sciences.
[3] Jiebo Luo,et al. Distribution Consistency Based Covariance Metric Networks for Few-Shot Learning , 2019, AAAI.
[4] Xiaogang Wang,et al. Finding Task-Relevant Features for Few-Shot Learning by Category Traversal , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[5] Jing Wang,et al. Balance between object and background: Object-enhanced features for scene image classification , 2013, Neurocomputing.
[6] Nikos Komodakis,et al. Dynamic Few-Shot Visual Learning Without Forgetting , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[7] Li Fei-Fei,et al. ImageNet: A large-scale hierarchical image database , 2009, CVPR.
[8] Taesup Kim,et al. Edge-Labeling Graph Neural Network for Few-Shot Learning , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[9] Joshua Achiam,et al. On First-Order Meta-Learning Algorithms , 2018, ArXiv.
[10] Tao Xiang,et al. Learning to Compare: Relation Network for Few-Shot Learning , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[11] Bernt Schiele,et al. Meta-Transfer Learning for Few-Shot Learning , 2018, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).