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零样本学习

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作者: 一亩高粱

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[NIPS 2018] Stacked Semantics-Guided Attention Model for Fine-Grained Zero-Shot Learning

细粒度零样本问题。如图1所示，全局特征仅捕获一些整体信息，相反，区域特征捕获局部信息，并且局部特征与类别语义描述更相关。当试图识别未见类别图像时，人们更多关注基于关键类别语义描述的信息区域。此外，人类通过排除不相关的视觉区域并以渐进的方式定位最相关的视觉区域来实现语义对齐。零样本问题中，模型是如何学习已知类和未知类的关系的？答：通过语义关系，具体来讲就是定义的语义空间，比如属性空间、词向量空间或者描述空间。

原创 2018-10-17 10:50:11 · 2487 阅读 · 5 评论
2021.11.24特征一致性损失

特征一致性损失

原创 2021-11-24 11:17:50 · 2937 阅读 · 0 评论
TPAMI13 Distance-Based Image Classification: Generalizing to New Classes

k-NN，NCM分类器

原创 2021-01-04 11:24:12 · 659 阅读 · 0 评论
ECCV20 Latent Embedding Feedback and Discriminative Features for Zero-Shot Classification

生成零样本-语义一致性保持，借鉴超分辨的特征增强

原创 2021-01-04 20:53:35 · 742 阅读 · 0 评论
CVPR20 Self-supervised Domain-aware Generative Network for Generalized Zero-shot Learning

自监督生成广义零样本

原创 2021-01-03 20:55:04 · 884 阅读 · 1 评论
CVPR20 Episode-based Prototype Generating Network for Zero-Shot Learning

用小样本的训练方式解决零样本的问题。

原创 2021-01-03 18:26:40 · 1008 阅读 · 2 评论
NIPS2019 Transductive Zero-Shot Learning with Visual Structure Constraint

直推式零样本学习

原创 2019-11-29 20:09:23 · 1332 阅读 · 0 评论
ACMMM20 Context-aware Feature Generation for Zero-shot Semantic Segmentation

生成式零样本语义分割

原创 2020-08-25 13:39:09 · 576 阅读 · 1 评论
[IJAC 2019] Zero-Shot Fine-Grained Classification by Deep Feature Learning with Semantics

论文的重点强调的是学习特征，对零样本细粒度分类更有判别性的特征。

原创 2019-06-24 16:57:53 · 420 阅读 · 0 评论
[CVPR 2019] Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders

基于对齐变分自编码器的广义零样本、小样本学习

原创 2019-06-03 14:42:23 · 3660 阅读 · 14 评论
[CVPR 2019] Leveraing the Invarian Side of Generative Zero-Shot Learning

生成有灵魂的特征

原创 2019-07-10 08:20:45 · 486 阅读 · 0 评论
[CVPR 2019] Gradient Matching Generative Networks for Zero-Shot Learning

基于梯度匹配的生成网络

原创 2019-09-19 09:02:55 · 1855 阅读 · 0 评论
[CVPR 2019] On zero-shot recognition of generic objects

大规模数据集上的ZSL问题

原创 2019-09-05 16:33:16 · 708 阅读 · 0 评论
[CVPR 2019] Semantic Projection Network for Zero- and Few-Label Semantic Segmentation

zero- and few-label semantic segmentation

原创 2019-08-31 19:09:16 · 1272 阅读 · 0 评论
[ECCV 2018] Selective Zero-Shot Classification with Augmented Attributes

零样本在选择性分类场景下的应用。

原创 2019-07-09 10:39:03 · 451 阅读 · 0 评论
[CVPR 2018] Feature Generating Networks for Zero-Shot Learning

直接生成特征

原创 2019-07-12 14:13:29 · 888 阅读 · 0 评论
[CVPR 2018] Transductive Unbiased Embedding for Zero-Shot Learning

零样本学习：通过目标类的无标注数据缓解投影域偏移问题。

原创 2018-08-14 15:46:44 · 878 阅读 · 9 评论
CVPR 2018 LDF: Discriminative Learning of Latent Features for Zero-Shot Recognition

零样本学习：利用注意力网络学习有判别性的隐含属性。

原创 2018-08-12 16:50:08 · 3459 阅读 · 17 评论
[CVPR 2017] Matrix Tri-Factorization with Manifold Regularization for Zero-shot Learning

零样本学习：矩阵三分解，通过流形正则化缓解投影域偏移问题。

原创 2018-07-29 10:00:55 · 2255 阅读 · 0 评论
[ICCV 2017] Learning Discriminative Latent Attributes for Zero-Shot Classification

零样本学习：学习判别性隐含属性，此处隐含属性是属性的组合。

原创 2018-08-21 09:33:50 · 1309 阅读 · 0 评论

零样本学习

作者: 一亩高粱

[NIPS 2018] Stacked Semantics-Guided Attention Model for Fine-Grained Zero-Shot Learning

2021.11.24特征一致性损失

TPAMI13 Distance-Based Image Classification: Generalizing to New Classes

ECCV20 Latent Embedding Feedback and Discriminative Features for Zero-Shot Classification

CVPR20 Self-supervised Domain-aware Generative Network for Generalized Zero-shot Learning

CVPR20 Episode-based Prototype Generating Network for Zero-Shot Learning

NIPS2019 Transductive Zero-Shot Learning with Visual Structure Constraint

ACMMM20 Context-aware Feature Generation for Zero-shot Semantic Segmentation

[IJAC 2019] Zero-Shot Fine-Grained Classification by Deep Feature Learning with Semantics

[CVPR 2019] Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders

[CVPR 2019] Leveraing the Invarian Side of Generative Zero-Shot Learning

[CVPR 2019] Gradient Matching Generative Networks for Zero-Shot Learning

[CVPR 2019] On zero-shot recognition of generic objects

[CVPR 2019] Semantic Projection Network for Zero- and Few-Label Semantic Segmentation

[ECCV 2018] Selective Zero-Shot Classification with Augmented Attributes

[CVPR 2018] Feature Generating Networks for Zero-Shot Learning

[CVPR 2018] Transductive Unbiased Embedding for Zero-Shot Learning

CVPR 2018 LDF: Discriminative Learning of Latent Features for Zero-Shot Recognition

[CVPR 2017] Matrix Tri-Factorization with Manifold Regularization for Zero-shot Learning

[ICCV 2017] Learning Discriminative Latent Attributes for Zero-Shot Classification