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Frontiers Deep Learning of Histopathology Images at the Single Cell Level

Frontiers The convergence of AI, IoT, and big data for advancing flood analytics research

Express - Alliance for the Arts

We got nuts! use deep neural networks to classify images of common edible nuts - Ruopeng An, Joshua Perez-Cruet, Junjie Wang, 2022

Three‐Dimensional Data Preparation and Immersive Mission‐Spanning Visualization and Analysis of Mars 2020 Mastcam‐Z Stereo Image Sequences - Paar - 2023 - Earth and Space Science - Wiley Online Library

OmniVL:One Foundation Model for Image-Language and Video-Language Tasks – arXiv Vanity

Sensors, Free Full-Text

Text-to-Image Generation with ControlNet Conditioning — OpenVINO™ documentationCopy to clipboardCopy to clipboardCopy to clipboardCopy to clipboardCopy to clipboardCopy to clipboardCopy to clipboardCopy to clipboardCopy to clipboardCopy to

Waste material classification using performance evaluation of deep learning models

ImageLabel help - Art Design Support - Developer Forum

Accurate auto-labeling of chest X-ray images based on quantitative similarity to an explainable AI model

Single-cell subcellular protein localisation using novel ensembles of diverse deep architectures

ChronoRoot: High-throughput phenotyping by deep segmentation networks reveals novel temporal parameters of plant root system architecture

Jianwei YANG, Xi'an University of Technology

AVLS 2019 Abstracts Supplement, 2019