12 citations · 36 across the 8 of their papers we have counts for
10 papers · 1 filter
Masked Spatial-Spectral Autoencoders Are Excellent Hyperspectral Defenders
Jiahao Qi, Zhiqiang Gong, Xingyue Liu +6
Deep learning methodology contributes a lot to the development of hyperspectral image (HSI) analysis community. However, it also makes HSI analysis systems vulnerable to adversaria…
A CNN with Noise Inclined Module and Denoise Framework for Hyperspectral Image Classification
Zhiqiang Gong, Ping Zhong, Jiahao Qi +1
Deep Neural Networks have been successfully applied in hyperspectral image classification. However, most of prior works adopt general deep architectures while ignore the intrinsic…
Self-aligned Spatial Feature Extraction Network for UAV Vehicle Re-identification
Aihuan Yao, Jiahao Qi, Ping Zhong
Compared with existing vehicle re-identification (ReID) tasks conducted with datasets collected by fixed surveillance cameras, vehicle ReID for unmanned aerial vehicle (UAV) is sti…
Few-shot Object Detection with Self-adaptive Attention Network for Remote Sensing Images
Zixuan Xiao, Wei Xue, Ping Zhong
In remote sensing field, there are many applications of object detection in recent years, which demands a great number of labeled data. However, we may be faced with some cases whe…
Few-shot Object Detection with Feature Attention Highlight Module in Remote Sensing Images
Zixuan Xiao, Ping Zhong, Yuan Quan +2
In recent years, there are many applications of object detection in remote sensing field, which demands a great number of labeled data. However, in many cases, data is extremely ra…
Statistical Loss and Analysis for Deep Learning in Hyperspectral Image Classification
Zhiqiang Gong, Ping Zhong, Weidong Hu
Nowadays, deep learning methods, especially the convolutional neural networks (CNNs), have shown impressive performance on extracting abstract and high-level features from the hype…