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Maya Codical Glyph Segmentation: A Crowdsourcing Approach

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Maya Codical Glyph Segmentation: A Crowdsourcing Approach

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DermoNet: Densely Linked Convolutional Neural Network for Efficient Skin Lesion Segmentation

Investigating Depth Domain Adaptation for Efficient Human Pose Estimation

Visual Analysis of Maya Glyphs via Crowdsourcing and Deep Learning

Analyzing and Visualizing Ancient Maya Hieroglyphics Using Shape: from Computer Vision to Digital Humanities

Large-Scale Image Segmentation with Convolutional Networks

Large-Scale Image Segmentation with Convolutional Networks

Extracting Maya Glyphs from Degraded Ancient Documents via Image Segmentation

Evaluating Shape Representations for Maya Glyph Classification

Fast and Robust Segmentation of the Striatum Using Deep Convolutional Neural Networks

Food/Non-food Image Classification and Food Categorization using Pre-Trained GoogLeNet Model

Visual Analysis of Maya Glyphs via Crowdsourcing and Deep Learning

Large-Scale Image Segmentation with Convolutional Networks

Food/Non-food Image Classification and Food Categorization using Pre-Trained GoogLeNet Model

DermoNet: Densely Linked Convolutional Neural Network for Efficient Skin Lesion Segmentation

Analyzing and Visualizing Ancient Maya Hieroglyphics Using Shape: from Computer Vision to Digital Humanities

Large-Scale Image Segmentation with Convolutional Networks

Investigating Depth Domain Adaptation for Efficient Human Pose Estimation

Extracting Maya Glyphs from Degraded Ancient Documents via Image Segmentation

Evaluating Shape Representations for Maya Glyph Classification

Fast and Robust Segmentation of the Striatum Using Deep Convolutional Neural Networks