1.3k citations · 1.9k across the 46 of their papers we have counts for
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Boosting Gradient for White-Box Adversarial Attacks
Hongying Liu, Zhenyu Zhou, Fanhua Shang +3
Deep neural networks (DNNs) are playing key roles in various artificial intelligence applications such as image classification and object recognition. However, a growing number of…
A Light-Weighted Convolutional Neural Network for Bitemporal SAR Image Change Detection
Rongfang Wang, Fan Ding, Licheng Jiao +4
Recently, many Convolution Neural Networks (CNN) have been successfully employed in bitemporal SAR image change detection. However, most of the existing networks are too heavy and…
MultiResolution Attention Extractor for Small Object Detection
Fan Zhang, Licheng Jiao, Lingling Li +2
Small objects are difficult to detect because of their low resolution and small size. The existing small object detection methods mainly focus on data preprocessing or narrowing th…
Counterfactual Detection meets Transfer Learning
Kelechi Nwaike, Licheng Jiao
We can consider Counterfactuals as belonging in the domain of Discourse structure and semantics, A core area in Natural Language Understanding and in this paper, we introduce an ap…
A Convolutional Neural Network with Parallel Multi-Scale Spatial Pooling to Detect Temporal Changes in SAR Images
Jia-Wei Chen, Rongfang Wang, Fan Ding +3
In synthetic aperture radar (SAR) image change detection, it is quite challenging to exploit the changing information from the noisy difference image subject to the speckle. In thi…