A New Hand Segmentation Method Based on Fully Convolutional Network
Abstract 手部分割具有人機交互、人的行爲識別等重要應用。然而，由於手部運動和環境的複雜性，傳統的手部分割方法不能得到廣泛的應用。 隨着深度學習的發展，卷積神經網絡在許多視覺任務中表現出強大的功能。本文提出了一種基於全卷積網絡的手部分割方法。我們將VGG 16層網絡（VGG16）的FCN-8S結構轉換爲手部分割網絡。 通過對ILSVRC-2014競賽中的VGG16模型版本進行微調，得到了一個
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相關文章
- 1. A Robust Hand Detection Method Based on Skin Probability Map
- 2. Transposed convolution & Fully Convolutional Neural Network
- 3. A perceptual quantization strategy for HEVC based on a convolutional neural network trained on natur
- 4. Multi-task Fully Convolutional Network for Brain Tumour Segmentation
- 5. Fully Convolutional Adaptation Networks for Semantic Segmentation
- 6. A Fully Convolutional Neural Network for Cardiac Segmentation in Short-Axis MRI
- 7. Left Ventricle Segmentation in Cardiac MR Images Using Fully Convolutional Network.
- 8. Fully Convolutional Network for Automatic Road Extraction from Satellite Imagery
- 9. Reading Note: Deformable Part-based Fully Convolutional Network for Object Detection
- 10. Fully Convolutional Networks for Semantic Segmentation 全文翻譯