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Jier Xi and Xiufen Ye
There are many challenges in using side-scan sonar (SSS) images to detect objects. The challenge of object detection and recognition in sonar data is greater than in optical images due to the sparsity of detectable targets. The complexity of real-world u...
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Jie Zhang, Fan Li, Xin Zhang, Yue Cheng and Xinhong Hei
As a crucial task for disease diagnosis, existing semi-supervised segmentation approaches process labeled and unlabeled data separately, ignoring the relationships between them, thereby limiting further performance improvements. In this work, we introduc...
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Huiwen Ji, Min Xia, Dongsheng Zhang and Haifeng Lin
Cloud and cloud shadow detection are essential in remote sensing imagery applications. Few semantic segmentation models were designed specifically for clouds and their shadows. Based on the visual and distribution characteristics of clouds and their shad...
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Yun-Wei Lin, Yuh-Hwan Liu, Yi-Bing Lin and Jian-Chang Hong
Deep learning models are often trained with a large amount of labeled data to improve the accuracy for moving object detection in new fields. However, the model may not be robust enough due to insufficient training data in the new field, resulting in som...
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Kai Lehniger and Peter Langendörfer
With the increasing popularity of IoT (Internet-of-Things) devices, their security becomes an increasingly important issue. Buffer overflow vulnerabilities have been known for decades, but are still relevant, especially for embedded devices where certain...
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Siti-Aisyah Zali, Shahbe Mat-Desa, Zarina Che-Embi and Wan-Noorshahida Mohd-Isa
Shadows in drone images commonly appear in various shapes, sizes, and brightness levels, as the images capture a wide view of scenery under many conditions, such as varied flying height and weather. This property of drone images leads to a major problem ...
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Liming Zhou, Chang Zheng, Haoxin Yan, Xianyu Zuo, Yang Liu, Baojun Qiao and Yong Yang
Recent years have seen rapid progress in target-detection missions, whereas small targets, dense target distribution, and shadow occlusion continue to hinder progress in the detection of small targets, such as cars, in remote sensing images. To address t...
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He Wang, Hua Zou and Dengyi Zhang
Shadow removal is a fundamental task that aims at restoring dark areas in an image where the light source is blocked by an opaque object, to improve the visibility of shadowed areas. Existing shadow removal methods have developed for decades and yielded ...
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Sukriti Bhattacharya, Christian Braun and Ulrich Leopold
Urbanization is leading us to a more chaotic state where healthy living becomes a prime concern. The high-rise buildings influence the urban setting with a high shadow rate on surroundings that can have no positive impact on the general neighborhood. Nev...
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Alessio Rettaroli, David Alesini, Danilo Babusci, Carlo Barone, Bruno Buonomo, Matteo Mario Beretta, Gabriella Castellano, Fabio Chiarello, Daniele Di Gioacchino, Giulietto Felici, Giovanni Filatrella, Luca Gennaro Foggetta, Alessandro Gallo, Claudio Gatti, Carlo Ligi, Giovanni Maccarrone, Francesco Mattioli, Sergio Pagano, Simone Tocci and Guido Torrioli
Detection of light dark matter, such as axion-like particles, puts stringent requirements on the efficiency and dark-count rates of microwave-photon detectors. The possibility of operating a current-biased Josephson junction as a single-microwave photon-...
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