Rethinking Temporal Fusion with a Unified Gradient Descent View for 3D Semantic Occupancy Prediction
In autonomous driving, understanding the 3D world over time is critical. Yet, most vision-based 3D Occupancy (VisionOcc) methods only scratch the surface of temporal fusion, focusing on simple ...
This paper introduces an advanced technique for monocular 3D scene understanding, utilizing deep learning to estimate depth from a single image. Traditional methods, such as stereo vision systems or ...
While recent advances in neural radiance field enable realistic digitization for large-scale scenes, the image-capturing process is still time-consuming and labor-intensive. Previous works attempt to ...
A research team has successfully imaged a nova in high resolution—and the images suggest that the nova was not a single, impulsive explosion. A nova is an astronomical phenomenon that occurs in a ...
Abstract: Many multi-view camera-based 3D object detection models transform the image features into Bird’s-Eye-View (BEV) via the Lift-Splat-Shoot (LSS) mechanism, which “lifts” 2D camera-view ...
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