HuangZhe885/papper-3D-detection
papper,overview,
This is a curated list of research papers on 3D object detection, organized to help researchers and engineers quickly find relevant literature. It compiles deep learning algorithms and multimodal fusion approaches. The resource provides a structured overview of methods and datasets for anyone working on computer vision tasks that involve identifying and localizing objects in 3D space.
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Use this if you are a researcher or engineer in autonomous driving, robotics, or augmented reality, looking for a comprehensive overview and structured list of current 3D object detection papers.
Not ideal if you are looking for ready-to-use code, tutorials, or an implementation of a 3D object detection model.
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Jul 22, 2024
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