Learning to Segment Human Body Parts with Synthetically Trained Deep Convolutional Networks
暂无分享,去创建一个
E. Menegatti | A. Pretto | Marco Imperoli | D. Evangelista | M. Bonotto | Alessandro Saviolo | Alessandro Saviolo
[1] Tony R. Martinez,et al. Ego2Hands: A Dataset for Egocentric Two-hand Segmentation and Detection , 2020, ArXiv.
[2] Karan Sapra,et al. Hierarchical Multi-Scale Attention for Semantic Segmentation , 2020, ArXiv.
[3] Weiwei Xing,et al. Image Semantic Segmentation Based on Encoder-Decoder Network , 2020, CNIOT.
[4] Ruben Tolosana,et al. Enhanced Self-Perception in Mixed Reality: Egocentric Arm Segmentation and Database With Automatic Labeling , 2020, IEEE Access.
[5] Pierre-Olivier Pigny,et al. Using CNNs For Users Segmentation In Video See-Through Augmented Virtuality , 2019, 2019 IEEE International Conference on Artificial Intelligence and Virtual Reality (AIVR).
[6] Wolfram Burgard,et al. Building an Aerial–Ground Robotics System for Precision Farming: An Adaptable Solution , 2019, IEEE Robotics & Automation Magazine.
[7] Visesh Chari,et al. Towards Accurate 3D Human Body Reconstruction from Silhouettes , 2019, 2019 International Conference on 3D Vision (3DV).
[8] Quoc V. Le,et al. EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks , 2019, ICML.
[9] Nassir Navab,et al. Patient 3D body pose estimation from pressure imaging , 2018, International Journal of Computer Assisted Radiology and Surgery.
[10] Long Ang Lim,et al. Learning multi-scale features for foreground segmentation , 2018, Pattern Analysis and Applications.
[11] Nima Tajbakhsh,et al. UNet++: A Nested U-Net Architecture for Medical Image Segmentation , 2018, DLMIA/ML-CDS@MICCAI.
[12] Pengfei Xiong,et al. Pyramid Attention Network for Semantic Segmentation , 2018, BMVC.
[13] Varun Jampani,et al. Training Deep Networks with Synthetic Data: Bridging the Reality Gap by Domain Randomization , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
[14] Mark Sandler,et al. MobileNetV2: Inverted Residuals and Linear Bottlenecks , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[15] Vincent Lepetit,et al. On Pre-Trained Image Features and Synthetic Images for Deep Learning , 2017, ECCV Workshops.
[16] Gang Sun,et al. Squeeze-and-Excitation Networks , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[17] Jing Li,et al. An Integrative Framework of Human Hand Gesture Segmentation for Human–Robot Interaction , 2017, IEEE Systems Journal.
[18] Shuicheng Yan,et al. Dual Path Networks , 2017, NIPS.
[19] George Papandreou,et al. Rethinking Atrous Convolution for Semantic Image Segmentation , 2017, ArXiv.
[20] Eugenio Culurciello,et al. LinkNet: Exploiting encoder representations for efficient semantic segmentation , 2017, 2017 IEEE Visual Communications and Image Processing (VCIP).
[21] P. Abbeel,et al. Domain randomization for transferring deep neural networks from simulation to the real world , 2017, 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
[22] Ciro Potena,et al. Automatic model based dataset generation for fast and accurate crop and weeds detection , 2016, 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
[23] Xiaogang Wang,et al. Pyramid Scene Parsing Network , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[24] François Chollet,et al. Xception: Deep Learning with Depthwise Separable Convolutions , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[25] Matthew Johnson-Roberson,et al. Driving in the Matrix: Can virtual worlds replace human-generated annotations for real world tasks? , 2016, 2017 IEEE International Conference on Robotics and Automation (ICRA).
[26] Jian Sun,et al. Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[27] James M. Rehg,et al. Delving into egocentric actions , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[28] Thomas Brox,et al. U-Net: Convolutional Networks for Biomedical Image Segmentation , 2015, MICCAI.
[29] Saining Xie,et al. Holistically-Nested Edge Detection , 2015, International Journal of Computer Vision.
[30] Andrew Zisserman,et al. Very Deep Convolutional Networks for Large-Scale Image Recognition , 2014, ICLR.
[31] Cheng Li,et al. Pixel-Level Hand Detection in Ego-centric Videos , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.
[32] Fei-Fei Li,et al. ImageNet: A large-scale hierarchical image database , 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.
[33] Karel J. Zuiderveld,et al. Contrast Limited Adaptive Histogram Equalization , 1994, Graphics Gems.
[34] Thomas O. Main,et al. Removal , 1881, The Dental register.
[35] Yan Li,et al. MA-Net: A Multi-Scale Attention Network for Liver and Tumor Segmentation , 2020, IEEE Access.
[36] P. Ganesan,et al. International Conference on Recent Trends in Computing 2015 ( ICRTC-2015 ) Comparative Study of Skin Color Detection and Segmentation in HSV and YCbCr Color Space , 2015 .