Lightweight and robust ship detection method driven by self-attention mechanism by Feng MA, Zihui SHI, Jie SUN, Chen CHEN, Xianbin MAO, Xinping YAN

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Research on Soybean Seedling Stage Recognition Based on Swin Transformer by Kai Ma, Jinkai Qiu, Ye Kang, Liqiang Qi, Wei Zhang, Song Wang, Xiuying Xu

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ED-Swin Transformer: A Cassava Disease Classification Model Integrated with UAV Images by Jing Zhang, Hao Zhou, Kunyu Liu, Yuguang Xu

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Hybrid Swin-CSRNet: A Novel and Efficient Fish Counting Network in Aquaculture by Jintao Liu, Alfredo Tolón-Becerra, José Fernando Bienvenido-Barcena, Xinting Yang, Kaijie Zhu, Chao Zhou

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IACGAN-ST: A Fault Diagnosis Method for Scraper Conveyor Bearings Under Imbalanced Data Conditions by Hongwei Wang, Shengyu Guan, Xuesong Wang, Lijie Wang, Qun Zhang, Kaiman Liu, Zhiwen Fang, Hongli Wang

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A swin transformer and CNN fusion framework for accurate Parkinson disease classification in MRI by Sayyed Shahid Hussain, Pir Masoom Shah, Hussain Dawood, Xu Degang, Ahmad Alshamayleh, Muhammad Adnan Khan, Taher M. Ghazal

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SSMM-DS: A semantic segmentation model for mangroves based on Deeplabv3+ with swin transformer by Zhenhua Wang, Jinlong Yang, Chuansheng Dong, Xi Zhang, Congqin Yi, Jiuhu Sun

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A Comprehensive Feature Extraction Network for Deep-Learning-Based Wildfire Detection in Remote Sensing Imagery by Haiyan Pan, Die Luo, Yuewei Zhang

Subjects: “…swin transformer…”
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Feature Coding and Graph via Transformer: Different Granularities Classification for Aircraft by Jianghao Rao, Senlin Qin, Zongyan An, Jianlin Zhang, Qiliang Bao, Zhenming Peng

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Swin Transformer With Spatial and Local Context Augmentation for Enhanced Semantic Segmentation of Remote Sensing Images by Rong-Xing Ding, Yi-Han Xu, Gang Yu, Wen Zhou, Ding Zhou

Subjects: “…Swin transformer…”
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Deep Watermarking Based on Swin Transformer for Deep Model Protection by Cheng-Hin Un, Ka-Cheng Choi

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Deep(er) reconstruction of imaging Cherenkov detectors with swin transformers and normalizing flow models by C Fanelli, J Giroux, J Stevens

Subjects: “…swin transformer…”
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Meta-Learning Approach for Adaptive Anomaly Detection from Multi-Scenario Video Surveillance by Deepak Kumar Singh, Dibakar Raj Pant, Ganesh Gautam, Bhanu Shrestha

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DepthFormer: Depth‐Enhanced Transformer Network for Semantic Segmentation of the Martian Surface From Rover Images by Yuan Ma, Zhaojin Li, Bo Wu, Ran Duan

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A Deep Learning Approach for Crop Disease and Pest Classification Using Swin Transformer and Dual-Attention Multi-Scale Fusion Network by R. Karthik, Armaano Ajay, Akshaj Singh Bisht, T. Illakiya, K. Suganthi

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Development of intelligent tools to predict neuroblastoma risk stratification and overall prognosis based on multiphase enhanced CT and clinical features by Wei Zhao, Yahui Han, Xiaokun Yu, Jianing Liu, Jiao Zhang, Juan Li

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A Dual-Branch Network of Strip Convolution and Swin Transformer for Multimodal Remote Sensing Image Registration by Kunpeng Mu, Wenqing Wang, Han Liu, Lili Liang, Shuang Zhang

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Generative-assisted multi-stage integrated network: Tackling extreme noise in image denoisingThe source code and trained models are made publicly available at: by Taeyong Park, Muhammad Sohail Ibrahim, Minseok Kim, Zahyun Ku, Yunsang Kwak

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Facial Anti-Spoofing Using “Clue Maps” by Liang Yu Gong, Xue Jun Li, Peter Han Joo Chong

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RSTD-YOLOv7: a steel surface defect detection based on improved YOLOv7 by Hongru Song

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