EMNet: A Novel Few-Shot Image Classification Model with Enhanced Self-Correlation Attention and Multi-Branch Joint Module by Fufang Li, Weixiang Zhang, Yi Shang

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Enhancing Essay Scoring: An Analytical and Holistic Approach With Few-Shot Transformer-Based Models by Tahira Amin, Zahoor-Ur-Rehman Tanoli, Farhan Aadil, Khalid Mahmood Awan, Sangsoon Lim

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A Novel FS-GAN-Based Anomaly Detection Approach for Smart Manufacturing by Tae-yong Kim, Jieun Lee, Seokhyun Gong, Jaehoon Lim, Dowan Kim, Jongpil Jeong

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Construction of Prompt Verbalizer Based on Dynamic Search Tree for Text Classification by Jinfeng Gao, Xianliang Xia, Ruxian Yao, Junming Zhang, Yu Zhang

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A Few-Shot Knowledge Graph Completion Model With Neighbor Filter and Affine Attention by Hongfang Gong, Yingjing Ding, Minyi Ma

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Few-Shot Contrail Segmentation in Remote Sensing Imagery With Loss Function in Hough Space by Junzi Sun, Esther Roosenbrand

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Addressing unfamiliar ship type recognition in real-scenario vessel monitoring: a multi-angle metric networks framework by Jiahua Sun, Jiawen Li, Jiawen Li, Jiawen Li, Jiawen Li, Ronghui Li, Ronghui Li, Ronghui Li, Langtao Wu, Liang Cao, Liang Cao, Liang Cao, Liang Cao, Molin Sun, Molin Sun, Molin Sun

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Attention-enhanced corn disease diagnosis using few-shot learning and VGG16 by Ruchi Rani, Jayakrushna Sahoo, Sivaiah Bellamkonda, Sumit Kumar

Subjects: “…VGG16 integrated Attention Mechanism and Prototypical Few-Shot Learning for Corn Disease Classification…”
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LC-Protonets: Multi-Label Few-Shot Learning for World Music Audio Tagging by Charilaos Papaioannou, Emmanouil Benetos, Alexandros Potamianos

Subjects: “…Few-shot learning…”
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Design of an integrated model with temporal graph attention and transformer-augmented RNNs for enhanced anomaly detection by Sai Babu Veesam, Aravapalli Rama Satish, Sreenivasulu Tupakula, Yuvaraju Chinnam, Krishna Prakash, Shonak Bansal, Mohammad Rashed Iqbal Faruque

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AlgaeClass_Net: Optimizing Few-Shot Marine Microalgae Classification With Multi-Scale Feature Enhancement Network by Dan Liu, Guihong Yuan, Huachao Tan, Yanbo Jiang, Hai Bi, Yuan Cheng

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CDR-Detector: a chronic disease risk prediction model combining pre-training with deep reinforcement learning by Shaofu Lin, Shiwei Zhou, Han Jiao, Mengzhen Wang, Haokang Yan, Peng Dou, Jianhui Chen

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Segment anything model for few-shot medical image segmentation with domain tuning by Weili Shi, Penglong Zhang, Yuqin Li, Zhengang Jiang

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Instruction and demonstration-based secure service attribute generation mechanism for textual data by LI Chenhao, WANG Na, LIU Aodi

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Learning Power Systems Waveform Incipient Patterns Through Few-Shot Meta-Learning by Lixian Shi, Qiushi Cui, Yang Weng, Yigong Zhang, Shilong Chen, Jian Li, Wenyuan Li

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SSL-MBC: Self-Supervised Learning With Multibranch Consistency for Few-Shot PolSAR Image Classification by Wenmei Li, Hao Xia, Bin Xi, Yu Wang, Jing Lu, Yuhong He

Subjects: “…Few-shot…”
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Multilevel support-assisted prototype optimization network for few-shot medical segmentation of lung lesions by Yuan Tian, Yongquan Liang, Yufeng Chen, Jingjing Zhang, Hongyang Bian

Subjects: “…Few-shot lesion segmentation…”
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Evaluation of Different Few-Shot Learning Methods in the Plant Disease Classification Domain by Alexander Uzhinskiy

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A robust adaptive meta-sample generation method for few-shot time series prediction by Chao Zhang, Defu Jiang, Kanghui Jiang, Jialin Yang, Yan Han, Ling Zhu, Libo Tao

Subjects: “…Few-shot time series prediction…”
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