19 citations · 21 across the 4 of their papers we have counts for
4 papers
Enhancing Hyperspectral Images via Diffusion Model and Group-Autoencoder Super-resolution Network
Zhaoyang Wang, Dongyang Li, Mingyang Zhang +2
Existing hyperspectral image (HSI) super-resolution (SR) methods struggle to effectively capture the complex spectral-spatial relationships and low-level details, while diffusion m…
One-Nearest Neighborhood Guides Inlier Estimation for Unsupervised Point Cloud Registration
Yongzhe Yuan, Yue Wu, Maoguo Gong +2
The precision of unsupervised point cloud registration methods is typically limited by the lack of reliable inlier estimation and self-supervised signal, especially in partially ov…
Entropy Induced Pruning Framework for Convolutional Neural Networks
Yiheng Lu, Ziyu Guan, Yaming Yang +3
Structured pruning techniques have achieved great compression performance on convolutional neural networks for image classification task. However, the majority of existing methods…
SBPF: Sensitiveness Based Pruning Framework For Convolutional Neural Network On Image Classification
Yiheng Lu, Maoguo Gong, Wei Zhao +2
Pruning techniques are used comprehensively to compress convolutional neural networks (CNNs) on image classification. However, the majority of pruning methods require a well pre-tr…