Results 191 to 200 of about 71,089 (215)
Carbon nanomaterial‐reinforced epoxy composites exhibit pronounced piezoresistive behavior, enabling intrinsic damage sensing under cyclic and fatigue loading. This review critically compares carbon nanotube and graphene systems, correlating filler content, percolation threshold, and gauge factor with sensing stability and damage evolution.
J. M. Parente +3 more
wiley +1 more source
MonoAux: Fully Exploiting Auxiliary Information and Uncertainty for Monocular 3D Object Detection. [PDF]
Li Z +5 more
europepmc +1 more source
Electrical Conductivities of Conductors, Semiconductors, and Their Mixtures at Elevated Temperatures
This article presents a comprehensive review of temperature‐dependent electrical conductivity data for multiple material classes at elevated temperatures, highlighting a persistent conductivity gap between metals and semiconductors in the range of 102$\left(10\right)^{2}$– 107$\left(10\right)^{7}$ S/m. Metal–ceramic irregular metamaterials are proposed
Valentina Torres Nieto, Marcia A. Cooper
wiley +1 more source
HP3D-V2V: High-Precision 3D Object Detection Vehicle-to-Vehicle Cooperative Perception Algorithm. [PDF]
Chen H, Wang H, Liu Z, Gu D, Ye W.
europepmc +1 more source
Point Cloud Painting for 3D Object Detection with Camera and Automotive 3+1D RADAR Fusion. [PDF]
Montiel-Marín S +4 more
europepmc +1 more source
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A map of object space in primate inferotemporal cortex
Nature, 2020Pinglei Bao, Liang She, Doris Y Tsao
exaly
Object detection in optical remote sensing images: A survey and a new benchmark
ISPRS Journal of Photogrammetry and Remote Sensing, 2020Ke Li, Gong Cheng, Junwei Han
exaly
Cascade R-CNN: High Quality Object Detection and Instance Segmentation
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021Zhaowei Cai, Nuno M Vasconcelos
exaly
Focal Loss for Dense Object Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020Tsung-Yi Lin
exaly

