Nature

Medical image segmentation based on frequency domain decomposition SVD linear attention

Convolutional Neural Networks (CNNs) have achieved remarkable segmentation accuracy in medical image segmentation tasks. However, the Vision Transformer (ViT) model, with its capability of extracting ...
Nature

Image segmentation for pest detection of crop leaves by improvement of regional convolutional neural network

Pest detection is important for crop cultivation. Crop leaf is the main place of pest invasion. Current technologies to detect crop pests have constraints, such as low efficiency, storage demands and ...
Ars Technica

New AI model can “cut out” any object within an image—and Meta is sharing the code

On Wednesday, Meta announced an AI model called the Segment Anything Model (SAM) that can identify individual objects in images and videos, even those not encountered during training, reports Reuters.
Gizmodo

Meta Releases New AI-Based Photo Segmentation Tool to Everybody

Users can now try out Meta’s new AI-powered promptable 'Segment Anything Model' that’s based on a 1-billion-strong mask dataset. Reading time 3 minutes Meta has some big AI ambitions, even as it seems ...