分享一篇来自 CVPR 2021 的文章,ACTION-Net: Multipath Excitation for Action Recognition。作者单位:都柏林圣三一大学,字节跳动 AI Lab。论文中提出一个即插即用的混合注意力机制的 ACTION 模块用于时序动作识别 (比如手势)。该模块包含了时空注意力,信道注意力和运动注意力。详细信息如下: 论文链接:arxiv.org/ab...
与Something-Something V1 和 V2 上最先进的方法进行比较。 在Kinetics-400 验证集上与最先进的方法进行比较。 结论 在本文中,我们提出了一种新的视频级框架,称为 TDN,用于从整个视频中学习动作模型。 TDN的核心贡献是将时间差分算子概括为具有特定设计的高效通用时间模块(TDM),用于捕获视频中的短期和长期时间信息...
Some traditional action recognition methods mainly rely on capturing appearance information to recognize human activities, which in the real world often take place in complex environments, so it becomes a challenge to identify human activities in complex environments accurately. A good way to address ...
Action Recognition Zoo Codes for popular action recognition models, written based on pytorch, verified on the something-something dataset. This code is built on top of the TRN-pytorch. Note The main purpose of this repositoriy is to go through several methods and get familiar with their pipeline...
Furthermore, it achieves comparable or superior results to state-of-the-art methods on standard action recognition datasets such as Something-Something-V2, UCF101, and HMDB51. 展开 会议名称: Chinese Conference on Pattern Recognition and Computer Vision (PRCV) ...
Our experiment results demonstrate that RViT can achieve state-of-the-art performance on various datasets for the video recognition task. Specifically, RViT can achieve a top-1 accuracy of 81.5% on Kinetics-400, 92.31% on Jester, 67.9% on Something-Something-V2, and an mAP accur...
@InProceedings{Wang_2021_CVPR, author = {Wang, Limin and Tong, Zhan and Ji, Bin and Wu, Gangshan}, title = {TDN: Temporal Difference Networks for Efficient Action Recognition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month =...
Vision-based Human activity recognition is becoming a trendy area of research due to its wide application such as security and surveillance, human–co
作者| 王正蔚 佘琪 编辑 | CV君 报道 | 我爱计算机视觉(微信id:aicvml)本文是对我们 CVPR 2021 接收的工作 "ACTION-Net: Multipath Excitation for Action Recognition" 的介绍。主要针对强时序依赖行…
OpenVINO Training Extensions Action Recognition. Contribute to openvinotoolkit/mmaction2 development by creating an account on GitHub.