A New Instrument Monitoring Method Based on Few-Shot Learning by Beini Zhang, Liping Li, Yetao Lyu, Shuguang Chen, Lin Xu, Guanhua Chen

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nHi-SEGA: n-Hierarchy SEmantic Guided Attention for few-shot learning by Xinpan Yuan, Shaojun Xie, Zhigao Zeng, Changyun Li, Luda Wang

Subjects: “…Few-shot learning…”
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Constellation loss: Improving the efficiency of deep metric learning loss functions for the optimal embedding of histopathological images by Alfonso Medela, Artzai Picon

Subjects: “…few-shot learning…”
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Active Instance Selection for Few-Shot Classification by Junsup Shin, Youngwook Kang, Seungjin Jung, Jongwon Choi

Subjects: “…Few-shot learning…”
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Image classification with limited data information by Cheng, Hao

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Few-shot vision recognition and generation for the open-world by Song, Nan

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Few-shot learning in Wi-Fi-based indoor positioning by Xie, Feng, Lam, Soi Hoi, Xie, Ming, Wang, Cheng

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Task-Aware Feature Composition for Few-Shot Relation Classification by Sinuo Deng, Ge Shi, Chong Feng, Yashen Wang, Lejian Liao

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Generative Adversarial Networks Based on Transformer Encoder and Convolution Block for Hyperspectral Image Classification by Jing Bai, Jiawei Lu, Zhu Xiao, Zheng Chen, Licheng Jiao

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Augmenting Few-Shot Learning With Supervised Contrastive Learning by Taemin Lee, Sungjoo Yoo

Subjects: “…Few-shot learning…”
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From Sample Poverty to Rich Feature Learning: A New Metric Learning Method for Few-Shot Classification by Lei Zhang, Yiting Lin, Xinyu Yang, Tingting Chen, Xiyuan Cheng, Wenbin Cheng

Subjects: “…Few-Shot Learning…”
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Few-Shot Learning for WiFi Fingerprinting Indoor Positioning by Zhenjie Ma, Ke Shi

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HSDNet: a poultry farming model based on few-shot semantic segmentation addressing non-smooth and unbalanced convergence by Daixian Liu, Bingli Wang, Linhui Peng, Han Wang, Yijuan Wang, Yonghao Pan

Subjects: “…Few-shot learning…”
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A Closer Look at Few-Shot Classification with Many Novel Classes by Zhipeng Lin, Wenjing Yang, Haotian Wang, Haoang Chi, Long Lan

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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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Balanced ID-OOD tradeoff transfer makes query based detectors good few shot learners by Yuantao Yin, Ping Yin, Xue Xiao, Liang Yan, Siqing Sun, Xiaobo An

Subjects: “…Few shot learning…”
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Proto-Adapter: Efficient Training-Free CLIP-Adapter for Few-Shot Image Classification by Naoki Kato, Yoshiki Nota, Yoshimitsu Aoki

Subjects: “…few-shot learning…”
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Fault Diagnosis Method of Permanent Magnet Synchronous Motor Based on WCNN and Few-Shot Learning by Chao Zhang, Fei Wang, Xiangzhi Li, Zhijie Dong, Yubo Zhang

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Improving Augmentation Efficiency for Few-Shot Learning by Wonhee Cho, Eunwoo Kim

Subjects: “…Few-shot learning…”
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Towards Stabilized Few-Shot Object Detection with Less Forgetting via Sample Normalization by Yang Ren, Menglong Yang, Yanqiao Han, Weizheng Li

Subjects: “…few-shot learning…”
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