IEEE

Hi-RWKV: Hierarchical RWKV Modeling for Hyperspectral Image Classification

Abstract: Hyperspectral image (HSI) classification demands models that can jointly capture long-range spatial relations and high-dimensional spectral structures while remaining scalable to large ...
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 ...
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 ...