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20152022
most citedDense Attention Fluid Network for Salient Object Detection in Optical Remote Sensing Images

348 citations · 658 across the 26 of their papers we have counts for

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23 papers · 1 filter

cs.CV2022

ADT-SSL: Adaptive Dual-Threshold for Semi-Supervised Learning

Zechen Liang, Yuan-Gen Wang, Wei Lu +1

Semi-Supervised Learning (SSL) has advanced classification tasks by inputting both labeled and unlabeled data to train a model jointly. However, existing SSL methods only consider…

cs.CV20222 cited

Detecting Recolored Image by Spatial Correlation

Yushu Zhang, Nuo Chen, Shuren Qi +2

Image forensics, aiming to ensure the authenticity of the image, has made great progress in dealing with common image manipulation such as copy-move, splicing, and inpainting in th…

cs.CV20217 cited

An Effective and Robust Detector for Logo Detection

Xiaojun Jia, Huanqian Yan, Yonglin Wu +3

In recent years, intellectual property (IP), which represents literary, inventions, artistic works, etc, gradually attract more and more people's attention. Particularly, with the…

cs.CV202112 cited

SIGAN: A Novel Image Generation Method for Solar Cell Defect Segmentation and Augmentation

Binyi Su, Zhong Zhou, Haiyong Chen +1

Solar cell electroluminescence (EL) defect segmentation is an interesting and challenging topic. Many methods have been proposed for EL defect detection, but these methods are stil…

cs.CV2020348 cited

Dense Attention Fluid Network for Salient Object Detection in Optical Remote Sensing Images

Qijian Zhang, Runmin Cong, Chongyi Li +5

Despite the remarkable advances in visual saliency analysis for natural scene images (NSIs), salient object detection (SOD) for optical remote sensing images (RSIs) still remains a…

cs.CV20203 cited

Efficient Adversarial Attacks for Visual Object Tracking

Siyuan Liang, Xingxing Wei, Siyuan Yao +1

Visual object tracking is an important task that requires the tracker to find the objects quickly and accurately. The existing state-ofthe-art object trackers, i.e., Siamese based…