7 citations · 16 across the 8 of their papers we have counts for
5 papers · 1 filter
DualMamba: A Lightweight Spectral-Spatial Mamba-Convolution Network for Hyperspectral Image Classification
Jiamu Sheng, Jingyi Zhou, Jiong Wang +2
The effectiveness and efficiency of modeling complex spectral-spatial relations are both crucial for Hyperspectral image (HSI) classification. Most existing methods based on CNNs a…
RFD-ECNet: Extreme Underwater Image Compression with Reference to Feature Dictionar
Mengyao Li, Liquan Shen, Peng Ye +2
Thriving underwater applications demand efficient extreme compression technology to realize the transmission of underwater images (UWIs) in very narrow underwater bandwidth. Howeve…
A2S-NAS: Asymmetric Spectral-Spatial Neural Architecture Search For Hyperspectral Image Classification
Lin Zhan, Jiayuan Fan, Peng Ye +1
Existing deep learning-based hyperspectral image (HSI) classification works still suffer from the limitation of the fixed-sized receptive field, leading to difficulties in distinct…
JNDMix: JND-Based Data Augmentation for No-reference Image Quality Assessment
Jiamu Sheng, Jiayuan Fan, Peng Ye +1
Despite substantial progress in no-reference image quality assessment (NR-IQA), previous training models often suffer from over-fitting due to the limited scale of used datasets, r…
Efficient Joint-Dimensional Search with Solution Space Regularization for Real-Time Semantic Segmentation
Peng Ye, Baopu Li, Tao Chen +6
Semantic segmentation is a popular research topic in computer vision, and many efforts have been made on it with impressive results. In this paper, we intend to search an optimal n…