Dilated Temporal Fully-Convolutional Network for Semantic Segmentation of Motion Capture Data

2018-06-24 · Noshaba Cheema, Somayeh Hosseini, Janis Sprenger, Erik Herrmann, Han Du, Klaus Fischer, Philipp Slusallek

Semantic segmentation of motion capture sequences plays a key part in many data-driven motion synthesis frameworks. It is a preprocessing step in which long recordings of motion capture sequences are partitioned into smaller segments. Afterwards, additional methods like statistical modeling can be applied to each group of structurally-similar segments to learn an abstract motion manifold. The segmentation task however often remains a manual task, which increases the effort and cost of generating large-scale motion databases. We therefore propose an automatic framework for semantic segmentation of motion capture data using a dilated temporal fully-convolutional network. Our model outperforms a state-of-the-art model in action segmentation, as well as three networks for sequence modeling. We further show our model is robust against high noisy training labels.

📄 PDF Abstract BibTeX arXiv:1806.09174

Code (0)

등록된 구현이 없습니다.

Tasks

Action Segmentation Motion Synthesis Segmentation Semantic Segmentation

Fine-Grained Semantic Segmentation of Motion Capture Data using Dilated Temporal Fully-Convolutional Networks

2019-03-02 · Noshaba Cheema, Somayeh Hosseini, Janis Sprenger, Erik Herrmann 외

Human motion capture data has been widely used in data-driven character animation. In order to generate realistic, natural-looking motions, most data-driven approaches require considerable efforts of pre-processing, incl…

Action Segmentation Image Segmentation Motion Segmentation Motion Synthesis+2

STFCN: Spatio-Temporal FCN for Semantic Video Segmentation

2016-08-21 · Mohsen Fayyaz, Mohammad Hajizadeh Saffar, Mohammad Sabokrou, Mahmood Fathy 외

This paper presents a novel method to involve both spatial and temporal features for semantic video segmentation. Current work on convolutional neural networks(CNNs) has shown that CNNs provide advanced spatial features …

Segmentation Semantic Segmentation Video Segmentation Video Semantic Segmentation

Comparison of the Deep-Learning-Based Automated Segmentation Methods for the Head Sectioned Images of the Virtual Korean Human Project

2017-03-15 · Mohammad Eshghi, Holger R. Roth, Masahiro Oda, Min Suk Chung 외

This paper presents an end-to-end pixelwise fully automated segmentation of the head sectioned images of the Visible Korean Human (VKH) project based on Deep Convolutional Neural Networks (DCNNs). By converting classific…

Segmentation Semantic Segmentation

EfficientFCN: Holistically-guided Decoding for Semantic Segmentation

2020-08-24 · ECCV 2020 8 · Jianbo Liu, Junjun He, Jiawei Zhang, Jimmy S. Ren 외

Both performance and efficiency are important to semantic segmentation. State-of-the-art semantic segmentation algorithms are mostly based on dilated Fully Convolutional Networks (dilatedFCN), which adopt dilated convolu…

Decoder Segmentation Semantic Segmentation

Revisiting Dilated Convolution: A Simple Approach for Weakly- and Semi-Supervised Semantic Segmentation

2018-06-01 · CVPR 2018 6 · Yunchao Wei, Huaxin Xiao, Honghui Shi, Zequn Jie 외

Despite remarkable progress, weakly supervised segmentation methods are still inferior to their fully supervised counterparts. We obverse that the performance gap mainly comes from the inability of producing dense and in…

Classification General Classification Object Object Localization+4