With the rapid development of artificial intelligence technology, AI-driven learning methods are gradually permeating various fields, particularly evident in programming education. In recent years, ...
Click to share on Facebook (Opens in new window) Facebook Click to share on X (Opens in new window) X The Los Angeles City Council voted Wednesday to explore a pilot program using goats for brush ...
The inherent noisy and sparse characteristics of radar data pose challenges in finding effective representations for 3D object detection. In this paper, we propose RadarDistill, a novel knowledge ...
Abstract: Perception systems are crucial for the safe operation of autonomous vehicles, particularly for 3D object detection. While LiDAR-based methods are limited by adverse weather conditions, 4D ...
conda create -n YOLO python=3.9 conda activate YOLO pip install thop pip install tqdm pip install PyYAML pip install opencv-python conda install pytorch torchvision torchaudio cudatoolkit=10.2 -c ...
Abstract: Few-shot object detection (FSOD) has attracted significant research attention in remote sensing due to its potential to reduce reliance on large annotated datasets. However, two challenges ...
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