OpenWorldSAM pushes the boundaries of SAM2 by enabling open-vocabulary segmentation with flexible language prompts. [2026-1-4]: Demo release: we’ve added simple demos to run OpenWorldSAM on images ...
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Abstract: In the field of remote sensing image processing, remote sensing image object detection is a crucial undertaking. However, the existing object detection algorithms have a considerable number ...
A production-ready deep learning project for time-series image classification using EfficientNet/NFNet with PyTorch Lightning. This project implements transfer learning for multi-class classification ...
From the moon and Jupiter to famous nebulas and galaxies, here’s your beginner-friendly guide to what to point your brand-new telescope at. When you purchase through links on our site, we may earn an ...
Non-Maximum Suppression for Rotated Object Detection During Merging Slices of High-Resolution Images
Abstract: In object detection on remote sensing images or aerial images, high-resolution images and low relative area ratio of objects need to be solved. Usually, a high-resolution image should be ...
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