Defect-aware Super-resolution Thermography by Adversarial Learning by Cheng Liangliang, Kersemans Mathias

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SymSwin: Multi-Scale-Aware Super-Resolution of Remote Sensing Images Based on Swin Transformers by Dian Jiao, Nan Su, Yiming Yan, Ying Liang, Shou Feng, Chunhui Zhao, Guangjun He

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SASRT: Semantic-Aware Super-Resolution Transmission for Adaptive Video Streaming over Wireless Multimedia Sensor Networks by Jia Guo, Xiangyang Gong, Wendong Wang, Xirong Que, Jingyu Liu

“…In this paper, a semantic-aware super-resolution transmission for adaptive video streaming system (SASRT) for WMSNs is presented. …”
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FQ-UWF: Unpaired Generative Image Enhancement for Fundus Quality Ultra-Widefield Retinal Images by Kang Geon Lee, Su Jeong Song, Soochahn Lee, Bo Hee Kim, Mingui Kong, Kyoung Mu Lee

“…To tackle this issue, we propose an unpaired, degradation-aware, super-resolution technique for enhancing UWF retinal images. …”
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Making Low-Resolution Satellite Images Reborn: A Deep Learning Approach for Super-Resolution Building Extraction by Lixian Zhang, Runmin Dong, Shuai Yuan, Weijia Li, Juepeng Zheng, Haohuan Fu

“…In contrast to the existing building extraction methods, we first utilize an internal pairs generation module (IPG) to obtain SR training datasets from the given low-resolution images and an edge-aware super-resolution module (EASR) to improve the perceptional features, following the dual-encoder building segmentation module (DES). …”
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Content-Aware SLIC Super-Pixels for Semi-Dark Images (SLIC++) by Manzoor Ahmed Hashmani, Mehak Maqbool Memon, Kamran Raza, Syed Hasan Adil, Syed Sajjad Rizvi, Muhammad Umair

“…SLIC++ attains high accuracy and creates content-aware super-pixels even if the images are semi-dark in nature. …”
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A super-peer architecture to improve intrusion detection and scalability in collaborative intrusion detection network by Bakhdlaghi, Yousef Abdullah

“…The aim of this study is to propose a scope-aware super-peer CIDN architecture as well as detecting FSA based on consultation requests that occur within CIDN. …”
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China Building Rooftop Area: the first multi-annual (2016–2021) and high-resolution (2.5 m) building rooftop area dataset in China derived with super-resolution segmentation... by Z. Liu, Z. Liu, H. Tang, H. Tang, H. Tang, L. Feng, S. Lyu

“…In this paper, we first propose a deep-learning method, named the Spatio-Temporal aware Super-Resolution Segmentation framework (STSR-Seg), to achieve robust super-resolution BRA extraction from relatively low-resolution imagery over a large geographic space. …”
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