Microsoft's MAI-Image-2 debuts at #3 on Arena.ai's text-to-image leaderboard, behind Google and OpenAI and begins rolling out on Copilot.
In organelle imaging, segmentation aims to accurately delineate pixels or voxels corresponding to target organelles from background, noise, and other cellular structures in microscopy images, thereby ...
Automated apple harvesting is hindered by clustered fruits, varying illumination, and inconsistent depth perception in complex orchard environments. While deep learning models such as Faster R-CNN and ...
Abstract: Medical image segmentation is crucial for separating tissue structures and anatomical regions. However, due to significant variations in size, shape, and density of target tissues in medical ...
An AI algorithm converts 2D electron microscope images into accurate 3D structures, cutting analysis time and cost to one-eighth while preserving precision. The newly developed algorithm requires ...
Abstract: Image segmentation is crucial in many fields, but existing image segmentation models based on encoder-decoder networks are constrained by manual parameter tuning and the limited ...
ABSTRACT: In this paper, a novel multilingual OCR (Optical Character Recognition) method for scanned papers is provided. Current open-source solutions, like Tesseract, offer extremely high accuracy ...
LiDAR (Light Detection and Ranging) is an essential device for capturing the depth information of objects. Unmanned aerial vehicles (UAV) can sense the surrounding environment through LiDAR and image ...
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