Abstract: Synthetic aperture radar (SAR) ship detection is a popular area in remote sensing, which has broad applications in fishery management, maritime rescue and marine detection. In recent years, ...
Abstract: Medical image segmentation is an important step in medical image analysis. With the rapid development of a convolutional neural network in image processing, deep learning has been used for ...
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 ...
Until now, our neural networks have treated every input feature independently. That works for tabular data, but images are different. A 224×224 image contains over 50,000 pixels, and nearby pixels are ...
This repository contains code released by Google Research. All datasets in this repository are released under the CC BY 4.0 International license, which can be found ...
At the same time, we need to think carefully about how to use them and how to prevent their misuse. I oppose recent suggestions that we simply ban their development, but I support and participate in ...
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