Jul 14, 2022 · An improved network combining Boundary-Matching Network (BMN) and Structured Segment Network (SSN) is proposed in this paper to achieve the temporal detection ...

In order to improve the accuracy of abnormal action detection, an improved network combining Boundary-Matching Network (BMN) and Structured Segment Network (SSN) ...

Aug 2, 2023 · In this current research context aware surveillance-system utilising hybrid ResNet101-ANN is developed for effective abnormal activity detection.

Sep 18, 2024 · Neural networks have demonstrated remarkable effectiveness in solving distinct real-world vision problems pertaining to activity recognition ...

This work solves the issue of broad reliance on practicing a single network for spatial and motion information collection for long-term dependency analysis ...

This repo contains experimental code used to implement deep learning techniques for the task of anomaly detection and launches an interactive dashboard.

An improved SVDD model called deep structure preservation SVDD (DSPSVDD) is proposed by integrating the deep feature extraction with the data structure ...

Oct 22, 2024 · Guan et al. [11] proposed a method for recognizing unsafe actions, combining a 3D convolutional neural network and a long short-term memory ...

In this article, we propose two models based on deep learning to address the binary and multiclass classification of network attacks.

This paper proposes ABNet, an AI-empowered abnormal action recognition approach for mice. ABNet utilizes an enhanced Spatio-Temporal Graph Convolutional ...