This paper presents a new approach for object recognition in 3D scenes, using a novel 3D shape descriptor which is used as input for a supervised machine learning method. Proposed robust 3D feature is ...

Recent open-world representation learning approaches have leveraged CLIP to enable zero-shot 3D object recognition. However, performance on real point clouds with occlusions still falls short due to ...

This initiative marks a significant breakthrough for Chinese enterprises in the field of 3D indoor scene recognition and generation ... Users only need to input a single reference image and a layout ...

This 2D Object Recognition project is a comprehensive system that aims to identify and classify objects based on their shape, regardless of size, orientation, or position. Utilizing a top-down camera ...

Discover how 3D printing works, its industrial applications in automotive and healthcare, and why it’s pivotal in transforming production processes across various sectors.

This work presents SGCDet, a novel multi-view indoor 3D object detection framework based on adaptive 3D volume construction. Unlike previous approaches that restrict the receptive field of voxels to ...

Grok is a capable chatbot with some unusual functionality, such as virtual companions, but its disappointing media generation ...

In the world of robotics, the spotlight often falls on sensors, actuators, and artificial intelligence (AI) algorithms.

Although recognized as a scientific breakthrough at Fermilab in 1993 and in several international, public scientific reviews (see Sections 3, 6.4, 6.5, 6.6.3, and 10), these inventions have never been ...

Flexible hydrogel sensors have attracted significant attention in wearable applications due to their excellent flexibility and biocompatibility. However, challenges such as insufficient long-term ...

Extensive Object Recognition: With its pre-trained knowledge, YOLOE can identify thousands of objects, offering unparalleled versatility for various applications.