IEEE

OrchidNet: A Self-Supervised Learning-Based Efficient Multiscale Feature Fusion Convolutional Neural Network With a Lightweight Architecture for Orchid Classification

Abstract: Classifying orchids is a challenging task: the color, shape, and texture features of each part of an orchid image are small, the category similarity is high, and the features are blurred.
GitHub

FIREWHEEL is an experiment orchestration tool that assists a user in building and controlling, repeatable experiments of distributed network systems at any scale.

If you have questions you'd like to ask the developers which our documentation does not answer, or feedback you'd like to provide, feel free to use the mailing list: firewheel AT sandia DOT gov Please ...
IEEE

OCANet: An Overcomplete Convolutional Attention Network for Building Extraction From High-Resolution Remote Sensing Images

Abstract: Building extraction from remote sensing (RS) image holds a crucial position in the fields of urban planning and sustainable development. In high-resolution (HR) RS images, the ...