在培训中,我们还提出了一个即插即用的对比证据去偏(CED)模块,以消除视频中人类行为的表现。 3.1. Deep Evidential Action Recognition 首先我们介绍证据深度学习。现有的基于深度学习的模型通常在深度神经网络(dnn)之上使用softmax层进行分类。然而,这些基于softmax的dnn无法估计分类问题的预测不确定性,因为softmax分数...
Odn: Opening the deep network for open-set action recognition[C]//2018 IEEE International Conference on Multimedia and Expo (ICME). IEEE, 2018: 1-6. 概述:我们提出了开放深层网络(ODN),用于开放集动作识别任务。在技术上,ODN通过应用多类三联体阈值法来检测新的类别,然后动态地重建分类层,并通过不断...
In this paper, we address an open-set action recognition problem. While the closed-set action recognition classifies test samples into the same classes of actions used for model training, the problem of the open-set action recognition is more challenging because there is a possibility that the ...
3.1.3 Open-set Action Recognition 上表展示了本文方法在Open-set动作识别上的实验结果。 3.2. Action Localisation 3.2.1 Closed-set Action Localisation 上表展示了本文方法在Closed-set Action Localisation任务上和SOTA方法的对比。 3....
Human action recognition (HAR) is a topic widely studied in computer vision and pattern recognition. Despite the success of recent models for this issue, most of them approach HAR from the closed-set perspective. The closed-set recognition works under the assumption that all classes are known a...
In this paper, we begin with analyzing the feature representation behavior in the open-set action recognition (OSAR) problem based on the information bottleneck (IB) theory, and propose to enlarge the instance-specific (IS) and class-specific (CS) information contained in the feature for better...
Specifically, we formulate the action recognition problem from the evidential deep learning (EDL) perspective and propose a novel model calibration method to regularize the EDL training. Besides, to mitigate the static bias of video representation, we propose a plug-and-play module to debias the ...
SOAR: Scene-debiasing Open-set Action Recognition Yuanhao Zhai, Ziyi Liu, Zhenyu Wu, Yi Wu, Chunluan Zhou, David Doermann, Junsong Yuan, and Gang Hua University at Buffalo, Wormpex AI Research ICCV 20231. Environment setupOur project is developed upon MMAction2 v0.24.1, please follow their...
recognition as an example, how to deploy a lab-trained action recognition model with limited video samples to real-world surveillance environment without camera-specific re-tuning stage. To address this challenge, it is necessary to develop new theories and methods that are in contrast to the ...
Compared with the very large dataset used for image classification, the dataset for action recognition is relatively small. Therefore we pre-trained our model on the ImageNet dataset22. Experiments setting To simulate the open-world scenarios, we choose nearly half categories of each data set as ...