NDS
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Related Articles from SNS
Altered Tonsillar Microbiome in Children with Down Syndrome and Obstructive Sleep Apnea
Background and Objectives: Children with Down syndrome (DS) have a high prevalence of obstructive sleep apnea (OSA) due to anatomic, neuromuscular, immunological and metabolic factors, yet the contribution of the tonsillar microbiome to airway obstruction in this population remains unexplored. We hypothesized that DS-associated OSA would be associated with a distinct tonsillar microbiome compared to non DS OSA. Methods: Tonsillar tissue from 22 DS and 18 NDS participants were analyzed by 16S...
Why Muon Outperforms Adam: A Curvature Perspective
arXiv:2606.04662v1 Announce Type: new Abstract: Muon improves training efficiency over Adam in large language-model training by about two times, but the local geometric source of this advantage remains unclear. Our work takes a first step toward demystifying Muon's superiority over Adam from a curvature perspective. First, we apply a second-order Taylor approximation to the training landscape and show that Muon achieves a larger one-step loss decrease than Adam at matched validation loss.
Learned Non-Maximum Suppression for 3D Object Detection
arXiv:2606.03568v1 Announce Type: new Abstract: Post-processing is a critical stage in LiDAR-based 3D object detection, where dense and overlapping proposals must be filtered for compact and reliable perception. This work introduces two learned filtering modules that replace heuristic non-maximum suppression (NMS) by leveraging relations among detections. D2D-Rescore employs transformer-based detection-to-detection (D2D) attention, while GossipNet3D adapts the 2D GossipNet concept to 3D...
Co-Fusion4D: Spatio-temporal Collaborative Fusion for Robust 3D Object Detection
Announce Type: replace Abstract: In autonomous driving, 3D object detection is essential for accurate perception and reliable decision-making. However, object motion and ego-motion often induce cross-frame spatiotemporal inconsistencies in BEV-based detectors, leading to temporal BEV feature misalignment and degraded spatiotemporal consistency. To address these challenges, we propose Co-Fusion4D, a unified framework that explicitly preserves cross-frame spatiotemporal consistency and...
Geometry-Aware Fisheye-LiDAR Fusion for Robust 3D Object Detection in Low-Overlap Setups
Announce Type: new Abstract: As autonomous systems expand from capital-intensive robotaxis to cost-sensitive logistics, sensor configurations are increasingly optimized for coverage-per-cost. A prevalent sparse-view setup utilizes dual-fisheye cameras with a roof-mounted LiDAR, introducing severe geometric challenges: extreme radial distortion, minimal overlap, and misalignment between spherical projections and rectilinear grids. BEV fusion algorithms typically force image and point cloud...