Abstract: Transformer-based object detection models usually adopt an encoding-decoding architecture that mainly combines self-attention (SA) and multilayer perceptron (MLP). Although this architecture ...
Abstract: Estimating the poses of new objects is a challenging problem. Although many methods have been developed for instance-level object pose estimation, they often struggle when faced with ...
In our interactive feature on small spaces, we showcased storage tips and lighting strategies through immersive 3D animations ...
SAM 3D Objects is a foundation model that reconstructs full 3D shape geometry, texture, and layout from a single image, excelling in real-world scenarios with occlusion and clutter by using ...
The original version of this story appeared in Quanta Magazine. Here’s a test for infants: Show them a glass of water on a desk. Hide it behind a wooden board. Now move the board toward the glass. If ...
Meta Platforms Inc. today is expanding its suite of open-source Segment Anything computer vision models with the release of SAM 3 and SAM 3D, introducing enhanced object recognition and ...
The World’s First Virtual Museum of Stolen Cultural Objects Wants Its Collection to Shrink, Not Grow
More than 250 looted objects are on display in UNESCO's Virtual Museum of Stolen Cultural Objects. UNESCO To raise awareness of the illicit trafficking of cultural heritage artifacts, from ...
Model making is a great hobby, but knowing how and where to start is another story. It can be overwhelming for novices: Injection-molded plastic models have been on the market for close to a century, ...
Atlas, the humanoid robot famous for its parkour and dance routines, has recently begun demonstrating something altogether more subtle but also a lot more significant: It has learned to both walk and ...
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