The $12K machine promises AI performance can scale to 32 chip servers and beyond but an immature software stack makes ...
pytorch-widedeep is based on Google's Wide and Deep Algorithm, adjusted for multi-modal datasets. In general terms, pytorch-widedeep is a package to use deep learning with tabular data. In particular, ...
TOKYO--(BUSINESS WIRE)--Mitsubishi Electric Corporation (TOKYO: 6503) announced today its development of the CielVision aerial display system. The system projects realistic images in mid-air with high ...
Abstract: High spatial resolution (HSR) image scene classification is currently a research hotspot, aiming to assign semantic labels based on visual information. However, many scene classification ...
Abstract: In computational pathology, one of the most investigated aspects concerns the analysis of patients’ tissue images. This type of image is often called a Whole Slide Image (WSI) and is ...
Reverse image searching is a quick and easy way to trace the origin of an image, identify objects or landmarks, find higher-resolution alternatives or check if a photo has been altered or used ...
1 Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming, China 2 Faculty of Life Science and Technology, Kunming University of Science and Technology ...
This repository provides an efficient binary video classification pipeline using PyTorch, optimized for local GPU-enabled PCs. It includes preprocessing and model inference tools for classifying ...
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