Remote sensing object detection is a rapidly growing field in artificial intelligence, playing a critical role in advancing ...
Researchers at Osaka Metropolitan University have developed SORA-DET, a lightweight and high-performance deep learning model ...
Abstract: The few-shot object detection (FSOD) in remote sensing (RS) faces a fundamental challenge in balancing contextual feature learning with the representation stability. Current approaches ...
Abstract: Domain adaptive object detection methods for remote sensing images (RSIs) typically rely on large-scale target-domain data and multiepoch offline adaption training. However, the wide ...
Astronomers discovered a mysterious object zooming through the Milky Way at an unbelievable speed! It’s moving so fast that it might even escape our galaxy entirely. Some scientists think it could be ...
A Python3.5/Pytroch implementation of Faster RCNN:Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks. And the official implementations are available here. Besides, special ...
The DINOv3 codebase includes several task-specific heads for a variety of tasks, including classification, depth estimation, object detection, and semantic segmentation. The initial focus of this ...
CC0 Usage Conditions ApplyClick for more information. by Erin Minor Forests play a vital role in absorbing carbon dioxide from the atmosphere. Worldwide, roughly 10 million hectares of forest are lost ...
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