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 ...
GitHub

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

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

Low-shot Image Classification Using Mixture of Experts

Abstract: We propose a low-shot image classification method called Limo, which can train an accurate image classification model under conditions of acute data scarcity. Limo uniquely assembles ...
IEEE

Generative Image Steganography Based on Text-to-Image Multimodal Generative Model

Abstract: Image steganography, the technique of hiding secret messages within images, has recently advanced with generative image steganography, which hides messages during image creation. However, ...