Abstract: Dilated convolution is a powerful technique for expanding the receptive field without increasing the convolution kernel size, making it highly valuable in image segmentation tasks. However, ...
This repository is an official PyTorch implementation of "Omni-Dimensional Dynamic Convolution", ODConv for short, published by ICLR 2022 as a spotlight. ODConv is a more generalized yet elegant ...
Researchers have developed DBAL-YOLO, a novel deep learning-based framework that automatically converts non-digital engineering drawings into 3D Building Information Models (BIM). Achieving 98.8% ...
The core file description is as follows: We have provided the complete implementation codes of three core innovative modules of GDD-YOLO, which are the key to optimizing the accuracy and computational ...
Introduction: Accurate measurement of myocardial blood flow (MBF) and flow reserve (MFR) in dynamic 13N-ammonia PET myocardial perfusion imaging (MPI) depends on effective motion correction (MC) of ...
What is Nvidia DLSS? Deep Learning Super Sampling, or DLSS, is a suite of software technologies that use AI to help you boost your frame rate or game image quality. Originally just a technique for ...
Convolutional neural networks (CNNs), with their exceptional image recognition capabilities, have performed outstandingly in the field of AI and notably within platforms like ChatGPT. Recently, a team ...
Department of Ultrasound, Beijing Tiantan Hospital, Capital Medical University, Beijing 100050, China CAS Key Laboratory for Biomedical Effects of Nanomaterials and Nanosafety, CAS Center for ...
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