Hybrid attentive prototypical network for few-shot action recognition by Zanxi Ruan, Yingmei Wei, Yanming Guo, Yuxiang Xie

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Benchmarking Federated Few-Shot Learning for Video-Based Action Recognition by Nguyen Anh Tu, Nartay Aikyn, Nursultan Makhanov, Assanali Abu, Kok-Seng Wong, Min-Ho Lee

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Tuberculosis detection using few shot learning by Kamran Riasat, Akhtar Jamil, Shaha Al-Otaibi, Sania Zeb, Saima Riasat, Shamsa Kanwal

Subjects: “…Few Shot Learning…”
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What can knowledge graph do for few-shot named entity recognition by Binling Nie, Yiming Shao, Yigang Wang

Subjects: “…Few-shot NER…”
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Few-Shot Semantic Segmentation Network for Distinguishing Positive and Negative Examples by Feng Guo, Dong Zhou

Subjects: “…few-shot semantic segmentation…”
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Dynamic Knowledge Path Learning for Few-Shot Learning by Jingzhu Li, Zhe Yin, Xu Yang, Jianbin Jiao, Ye Ding

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STAR-SNR: spatial–temporal adaptive regulation and SNR optimization for few-shot video generation by Xian Yu, Jianxun Zhang, Siran Tian, Hongyu Yi

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Feature Transformation-Based Few-Shot Class-Incremental Learning by Xubo Zhang, Yang Luo

Subjects: “…few-shot…”
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Few-Shot Segmentation Using Multi-Similarity and Attention Guidance by Ehtesham Iqbal, Sirojbek Safarov, Seongdeok Bang, Sajid Javed, Yahya Zweiri, Yusra Abdulrahman

Subjects: “…Few-shot learning…”
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Few-shot traffic classification based on autoencoder and deep graph convolutional networks by Shengwei Xu, Jijie Han, Yilong Liu, Haoran Liu, Yijie Bai

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STTMC: A Few-Shot Spatial Temporal Transductive Modulation Classifier by Yunhao Shi, Hua Xu, Zisen Qi, Yue Zhang, Dan Wang, Lei Jiang

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Transformer-Based Student Engagement Recognition Using Few-Shot Learning by Wejdan Alarefah, Salma Kammoun Jarraya, Nihal Abuzinadah

Subjects: “…few-shot learning…”
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Anodapter: A Unified Framework for Generating Aligned Anomaly Images and Masks Using Diffusion Models by Minkyoung Shin, Seonggyun Jeong, Yong Seok Heo

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Dual-Filter Cross Attention and Onion Pooling Network for Enhanced Few-Shot Medical Image Segmentation by Lina Ni, Yang Liu, Zekun Zhang, Yongtao Li, Jinquan Zhang

Subjects: “…few-shot learning…”
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Multi-Modal Prototypes for Few-Shot Object Detection in Remote Sensing Images by Yanxing Liu, Zongxu Pan, Jianwei Yang, Peiling Zhou, Bingchen Zhang

Subjects: “…few-shot learning…”
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A deep learning model for detection and classification of coffee-leaf diseases using the transfer-learning technique by Nabila Mansouri, Hanene Guessmi, Adel Alkhalil

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Few-shot Named Entity Recognition via encoder and class intervention by Long Ding, Chunping Ouyang, Yongbin Liu, Zhihua Tao, Yaping Wan, Zheng Gao

Subjects: “…Few-shot learning…”
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Metric-based learning approach to botnet detection with small samples by Honggang LIN, Junjing ZHU, Lin CHEN

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Task-Oriented Local Feature Rectification Network for Few-Shot Image Classification by Ping Li, Xiang Zhu

Subjects: “…few-shot learning…”
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BBSNet: An Intelligent Grading Method for Pork Freshness Based on Few-Shot Learning by Chao Liu, Jiayu Zhang, Kunjie Chen, Jichao Huang

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