Deep learning creates virtual multiplexed immunostaining to improve cancer diagnosis

Researchers at the University of California, Los Angeles (UCLA), in collaboration with pathologists from Hadassah Hebrew ...
GitHub

LAP-GAN: Label augmentation with perceptual loss for self-supervised text-to-image synthesis

This repository provides the pytorch code for the paper "LAP-GAN: Label augmentation with perceptual loss for self-supervised text-to-image synthesis" by Yong Xuan Tan, Jit Yan Lim, Kian Ming Lim, ...
IEEE

Discriminative Regression With Latent Label Learning for Image Classification

Abstract: As one of the popular and effective supervised classification methods, linear regression is extensively used in image classification. However, the zero-one labeling matrix is too strict to ...
Analytics Insight

10 Common Matplotlib Mistakes Beginners Make and How to Fix Them

Overview: Matplotlib mistakes often come from poor layout, unclear labels, and wrong scale choices, not from the data ...
IEEE

Semantic-Guided Representation Enhancement for Multi-Label Image Classification

Abstract: Multi-label image classification is an essential yet challenging task that requires to recognize multiple objects of images. To this end, recent studies have sought to acquire visual ...
GitHub

A plugin to label images using ML Kit Image Labeler. With High Performance.

Easy To Use. Works Just Writing few lines of Code. Works With React Native Vision Camera. Works for Both Cameras. Works Fast. Works With Android 🤖 and IOS.📱 Writen With Kotlin and Swift. Can Scan ...