Dec 4, 2024 · Multi-view 3D object detection built upon the Lift-Splat-Shoot (LSS) mechanism provides an economical and deployment-friendly solution for autonomous ...
5 days ago · Bird's-Eye-View (BEV) representation has emerged as a mainstream paradigm for multi-view 3D object detection, demonstrating impressive perceptual ...
Dec 15, 2024 · The MMFS-GA framework demonstrates superior performance and interpretability for feature selection on multi-view datasets in both binary and multiclass ...
7 days ago · We analyse the distribution of predictions from multi-view 3D object detection models and propose a novel adaptive noise generation training.
Dec 2, 2024 · Summary: This paper introduces an efficient 3D mask labeling method that leverages multi-view 2D label maps, referred to as Low Granularity (LG) Label Maps, ...
Dec 10, 2024 · An object detection is a grouping of pixels within an image that are believed to be a part of the same entity.
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7 days ago · Multimodal fusion-based object detection is the foundational sensing task in scene understanding. It capitalizes on LiDAR and camera data to boost the ...
Dec 6, 2024 · 3D object detection is a crucial component of autonomous vehicle perception, but adverse weather conditions can affect sensor performance, leading to a ...
Dec 18, 2024 · These approaches can also be computationally slow, and reflections in the image may mislead the 2D detector, resulting in incorrect object detection outcomes.
Dec 18, 2024 · Unlike traditional methods, VIAP enables targeted attacks capable of manipulating recognition systems to classify objects as specific, pre-determined labels, ...