Healable and Recyclable Polyurea‐Urethane Elastomer with High Mechanical Robustness, Superhigh Elastic Restorability, and Exceptional Crack Tolerance
X Xiang, L Zhang, D Sheng, X Yang… - Advanced Functional …, 2024 - Wiley Online Library
Developing the elastomer materials with high mechanical robustness through simple and
environmentally friendly methods poses significant challenges. In this research, a simple …
environmentally friendly methods poses significant challenges. In this research, a simple …
Development of Smart and Lean Pick-and-Place System Using EfficientDet-Lite for Custom Dataset
Object detection for a pick-and-place system has been widely acknowledged as a significant
research area in the field of computer vision. The integration of AI and machine vision with …
research area in the field of computer vision. The integration of AI and machine vision with …
Keypoints Filtrating Nonlinear Refinement in Spatial Target Pose Estimation with Deep Learning
L Zhong, S Chen, Z Jin, P Guo… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Spatial target pose estimation with deep learning has garnered increasing attention in
recent years. However, the existing methods in this field suffer from poor generalization. In …
recent years. However, the existing methods in this field suffer from poor generalization. In …
DCSPose: A Dual-Channel Siamese Framework for Unseen Textureless Object Pose Estimation
Z Yue, Z Han, X Yang, L Liu - Applied Sciences, 2024 - mdpi.com
Featured Application This work has the capability to estimate the pose of unseen textureless
objects, which can find applications in automated assembly processes. For example, it can …
objects, which can find applications in automated assembly processes. For example, it can …
A Method for Residual Network Image Classification with Multi-scale Feature Fusion
G Ru, P Sheng, A Tong, Z Li - … Conference on Machine Learning for Cyber …, 2022 - Springer
The traditional convolutional neural network (CNN) only focuses on the features of the last
layer of the network, ignoring those of other layers. The detailed information of the shallow …
layer of the network, ignoring those of other layers. The detailed information of the shallow …