TillerPET: An AI model for high-throughput phenotyping of rice tiller traits

In a new study published in The Crop Journal on November 7, researchers developed an AI model named TillerPET that enables ...
IEEE

IIDM: Image-to-Image Diffusion Model for Semantic Image Synthesis

Abstract: Semantic image synthesis aims to generate high-quality images given semantic conditions, i.e., segmentation masks and style reference images. Existing methods widely adopt generative ...
IEEE

Image Classification Model Based on Contrastive Learning With Dynamic Adaptive Loss

Abstract: As one of the core tasks in vision recognition, image classification is widely used in various scenarios. Most existing mainstream image classification models use the Convolutional Neural ...
winbuzzer.com

AI Image Generation for Consumer PCs: Alibaba Releases 6B Z-Image-Turbo Model

Challenging the industry’s obsession with enormous parameter counts, Alibaba’s Tongyi Lab has released Z-Image-Turbo, a lightweight AI image generation model designed to run on consumer hardware. The ...
GitHub

plant-health

Al-based plant disease detection system using deep learning, providing real-time identification and remedy suggestions for crop health management. AI-powered plant disease detection system using deep ...
GitHub

ImageProcessor runs slowly and takes 200ms to process images with the shape of FP32 [1920,1080,3]

I deployed a super-resolution model on the Android side using TensorFlow, with a runtime of 90ms (540p ->1080p) when calling QNN. However, the preprocessing and post-processing of the images were slow ...