Unite.AI

Why Data Labeling Is Critical to Building Accurate Machine Learning Models

Machine learning models are usually complimented for their intelligence. However, their success mostly hinges on one fundamental aspect: data labeling for machine learning. A model has to get familiar ...
IEEE

Rethinking Image Histogram Matching for Image Classification

Abstract: This paper rethinks image histogram matching (HM) and proposes a differentiable and parametric HM preprocessing for a downstream classifier. Convolutional neural networks have demonstrated ...
IEEE

Concern With Center-Pixel Labeling: Center-Specific Perception Transformer Network for Hyperspectral Image Classification

Abstract: Self-attention-based approaches that leverage global context information for hyperspectral image (HSI) classification have gained increasing prominence. Nevertheless, due to the assignment ...
Fabbaloo

Hitem3D Shifts Image-to-3D AI Platform Toward Print-Ready Model Generation

Hitem3D is focusing on 3D printing for its image-to-3D AI system. Image-to-3D systems have been around for about a year, with massive improvements in quality taking place. The idea is to present a 2D ...
GitHub

sarah-antillia/TensorFlow-FlexUNet-Image-Segmentation-Endoscopy-Multi-Organ-Disease

This is the first experiment of Image Segmentation for Endoscopy Multi Organ Disease (EDD2020) based on our TensorFlowFlexUNet (TensorFlow Flexible UNet Image Segmentation Model for Multiclass), and ...