Abstract: The most cost-effective way to obtain a high spatial resolution hyperspectral image (HrHSI) is to fuse a low spatial resolution hyperspectral image (LrHSI) and corresponding high spatial ...
Abstract: Lane detection is the critical sensing technology for autonomous driving systems and advanced driving assistance systems. Along with the rapid evolution of deep learning, vision-based lane ...
DBB is a powerful ConvNet building block to replace regular conv. It improves the performance without any extra inference-time costs. This repo contains the code for building DBB and converting it ...
Recent years have witnessed great advances in applying deep learning to improve fluorescence microscopy imaging. However, enhancing the fidelity of image restoration networks and improving their ...
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 ...
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