How can developers optimize their systems using the opportunities offered by open-source AI and robot-control software?

By leveraging a vision foundation model called Depth Anything V2, the method can accurately segment crops across diverse environments—field, lab, and aerial—reducing both time and cost in agricultural ...

Rapidly developing remote sensing technologies expand the volume and variety of hyperspectral images (HSI). An HSI classification (HSIC) model should be able to adapt to new classes continually while ...

Most existing adversarial attack methods for remote sensing images merely add adversarial perturbations or patches, resulting in visually unnatural modifications. Clouds are common atmospheric effects ...

This is an official PyTorch implementation for "MuSc : Zero-Shot Industrial Anomaly Classification and Segmentation with Mutual Scoring of the Unlabeled Images" (MuSc ICLR2024).

This repository implements a Prototypical Network for few-shot image classification tasks using PyTorch. Prototypical Networks are designed to tackle the challenge of classifying new classes with ...

Diffraction imaging of cells allows rapid phenotyping by the response of intracellular molecules to coherent illumination. However, its ability to distinguish numerous types of human leukocytes ...

We present Neighborhood Attention Transformer, a hierarchy-based transformer-like model using this attention mechanism, and compare its performance to Swin on image classification, object detection, ...