2 citations · 4 across the 6 of their papers we have counts for
6 papers
Meta knowledge assisted Evolutionary Neural Architecture Search
Yangyang Li, Guanlong Liu, Ronghua Shang +1
Evolutionary computation (EC)-based neural architecture search (NAS) has achieved remarkable performance in the automatic design of neural architectures. However, the high computat…
Masked Image Modeling Boosting Semi-Supervised Semantic Segmentation
Yangyang Li, Xuanting Hao, Ronghua Shang +1
In view of the fact that semi- and self-supervised learning share a fundamental principle, effectively modeling knowledge from unlabeled data, various semi-supervised semantic segm…
S4DL: Shift-sensitive Spatial-Spectral Disentangling Learning for Hyperspectral Image Unsupervised Domain Adaptation
Jie Feng, Tianshu Zhang, Junpeng Zhang +4
Unsupervised domain adaptation techniques, extensively studied in hyperspectral image (HSI) classification, aim to use labeled source domain data and unlabeled target domain data t…
Multi-Teacher Multi-Objective Meta-Learning for Zero-Shot Hyperspectral Band Selection
Jie Feng, Xiaojian Zhong, Di Li +3
Band selection plays a crucial role in hyperspectral image classification by removing redundant and noisy bands and retaining discriminative ones. However, most existing deep learn…
DynamicKD: An Effective Knowledge Distillation via Dynamic Entropy Correction-Based Distillation for Gap Optimizing
Songling Zhu, Ronghua Shang, Bo Yuan +3
The knowledge distillation uses a high-performance teacher network to guide the student network. However, the performance gap between the teacher and student networks can affect th…
RSBNet: One-Shot Neural Architecture Search for A Backbone Network in Remote Sensing Image Recognition
Cheng Peng, Yangyang Li, Ronghua Shang +1
Recently, a massive number of deep learning based approaches have been successfully applied to various remote sensing image (RSI) recognition tasks. However, most existing advances…