Zero-shot action recognition (ZSAR) is a practical and challenging issue, which compensates for the shortcomings of existing action recognition by being able to recognize those action classes that don't have visual representation during training. However, existing zero-shot action recognition doesn't...
(I Know the Relationships: Zero-Shot Action Recognition via Two-Stream Graph Convolutional Networks and Knowledge Graphs, AAAI 2019) 1、第一个有意思的地方——Three types of relationships: 因为是Zero-Shot Action Recognition(ZSAR),和ZSL一样,涉及到三个concept:video、attribute、label/action。两种常见...
2019_Out-of-Distribution Detection for Generalized Zero-Shot Action Recognition 2019_CVPR_CEWGAN-OD_特征熵分出seen和unseen_GAN生成unseen_重构损失_生成特征的类别匹配损失 对于seen类上进行GAN训练, 从而合成unseen的动作特征. 首次引入 out-of-distribution detector 来确定是属于seen还是unseen的动作类别. seen...
Abstract Generalized zero-shot action recognition is a challenging problem, where the task is to recognize new action categories that are unavailable during the training stage, in addition to th... 查看原文 GZSL论文阅读 Generalizedzero-shotactionrecognition中对可见和不可见动作类别进行单独处理来解决该问...
Recently, zero-shot action recognition (ZSAR) has emerged with the explosive growth of action categories. In this paper, we explore ZSAR from a novel perspective by adopting the Error-Correcting Output Codes (dubbed ZSECOC). Our ZSECOC equips the conventional ECOC with the additional capability...
Zero-shot action recognition requires a strong ability to generalize from pre-training and seen classes to novel unseen classes. Similarly, continual learning aims to develop models that can generalize effectively and learn new tasks without forgetting the ones previously learned. The generalization goals...
2019_Out-of-Distribution Detection for Generalized Zero-Shot Action Recognition http://openaccess.thecvf.com/content_CVPR_2019/papers/Mandal_Out-Of-Distribution_Detection_for_Generalized_Zero-Shot_Action_Recognition_CVPR_2019_paper.pdf 在广义Zero-Shot中, 针对seen和unseen进行分别处理. 引入了 out-of-...
2019_Out-of-Distribution Detection for Generalized Zero-Shot Action Recognition http://openaccess.thecvf.com/content_CVPR_2019/papers/Mandal_Out-Of-Distribution_Detection_for_Generalized_Zero-Shot_Action_Recognition_CVPR_2019_paper.pdf 在广义Zero-Shot中, 针对seen和unseen进行分别处理. 引入了 out-of-...
Tell me what you see: A zero-shot action recognition method based on natural language descriptions Additionally, we show that word vectors are unsuitable for building the semantic embedding space of our descriptions. Our method outperforms the state-of-... V Estevam,R Laroca,H Pedrini,... -...
实验分了两个方面,一是zer-shot visual recognition,在AWA和CUB数据上进行的;另一个是human action recognition,在UCF101和HMDB51上进行的。文章还给了很多数据集的细节和visual、semantic的编码表达细节,以及超参数的设置。这里就直接贴结果了: 总的来说,这个效果在2017年还是不错的,而且方法比较新颖,也有进步的空间...