Adaptive receptive field U-shaped temporal convolutional network for vulgar action segmentation
- 12 January 2023
- journal article
- research article
- Published by Springer Nature in Neural Computing and Applications
- Vol. 35 (13) , 9593-9606
Abstract
No abstract availableKeywords
Funding Information
- National Natural Science Foundation of China (61972121, 61971173)
- Zhejiang Provincial Natural Science Foundation of China (LY21F020015, LY20F020015)
- Zhejiang Provincial Natural Science Foundation of China (LY21F030005)
- Fundamental Research Funds for the Provincial Universities of Zhejiang
This publication has 50 references indexed in Scilit:
- Pornography classification: The hidden clues in video space–timeForensic Science International, 2016
- A mid-level video representation based on binary descriptors: A case study for pornography detectionNeurocomputing, 2016
- 3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation2016
- SSD: Single Shot MultiBox Detector2016
- Temporal Segment Networks: Towards Good Practices for Deep Action Recognition2016
- U-Net: Convolutional Networks for Biomedical Image Segmentation2015
- Delving into egocentric actions2015
- Fully convolutional networks for semantic segmentation2015
- Fusing audio vocabulary with visual features for pornographic video detectionFuture Generation Computer Systems, 2014
- The Impact of Internet Pornography on Adolescents: A Review of the ResearchSexual Addiction & Compulsivity, 2012