Abstract: In this letter, we introduce deep active learning (AL) for multi-label image classification (MLC) problems in remote sensing (RS). In particular, we investigate the effectiveness of several ...

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, ...

Thyroid cancer is the most common endocrine cancer, affecting more people each year as detection rates continue to rise.

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

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 ...

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 ...