论文题目:DMMG: Dual Min-Max Games for Self-Supervised Skeleton-Based Action Recognition 作者&团队:Guan S, Yu X, Huang W, et al. 1.澳大利亚人工智能研究所,悉尼科技大学2.昆士兰大学信息技术与电气工程学院3.日本理化学研究所先进智能项目中心 发表期刊/会议:IEEE Transa
We propose a novel cross-stream contrastive learning model named CSCLR for self-supervised skeleton-based action recognition, which contrasts the pairwise features extracted from different data stream. Compared with existing methods only using intra-stream contrast, CSCLR is proposed to introduce more ...
Self-supervised action recognition plays a crucial role by enabling machines to understand and interpret human actions without the need for numerous human-annotated labels. Contrastive learning, which compels the model to focus on discriminative features by constructing positive and negative sample pairs,...
Paper tables with annotated results for Cross-Stream Contrastive Learning for Self-Supervised Skeleton-Based Action Recognition
such as representative gestures for an action while preventing themodel from overf i tting. By fully exploiting the proposed DMMG,we can generate suff i cient challenging contrastive pairs andthus achieve discriminative action feature representations fromunlabeled skeleton data in a self-supervised ...
Language-Skeleton Pre-training to Collaborate with Self-Supervised Human Action Recognition 来自 Springer 喜欢 0 阅读量: 6 作者:Y Liu,R Liu,W Xin,Q Miao,Y Hu,J Qi 摘要: Multi-modal representation learning for skeleton-based action recognition has been developed with the advance of contrastive ...
* 题目: Contrastive Learning from Extremely Augmented Skeleton Sequences for Self-supervised Action Recognition* 链接: arxiv.org/abs/2112.0359* 作者: Tianyu Guo,Hong Liu,Zhan Chen,Mengyuan Liu,Tao Wang,Runwei Ding* 其他: Accepted by AAAI2022* 摘要: 近年来,随着对比学习方法的进步,基于骨架的动作...
This is an official PyTorch implementation of STARS: Self-supervised Tuning for 3D Action Recognition in Skeleton Sequences. Data Preparation ⚙️ Follow the same steps explained in MAMP repository and put the result in ./data directory. After data preparation, the following data structure is ...
We introduce EFCIA, a new action recognition method which addresses exemplar-free class-incremental learning. Specifically, we propose the use of a self-supervised model and knowledge distillation to enhance the feature extraction capability of the feature extractor. The classifier trained by pseudo-fea...
Self-supervised Representation Learning from Videos for Facial Action Unit Detection(CVPR 2019),程序员大本营,技术文章内容聚合第一站。