Results 251 to 260 of about 517,396 (274)
Some of the next articles are maybe not open access.
A Comprehensive Survey of Few-shot Learning: Evolution, Applications, Challenges, and Opportunities
ACM Computing Surveys, 2023Yisheng Song, Wang, Ting, Puyu Cai
exaly
Deep metric learning for few-shot image classification: A Review of recent developments
Pattern Recognition, 2023Xiaochen Yang, Zhanyu, Jing-Hao Xue
exaly
Learning attention-guided pyramidal features for few-shot fine-grained recognition
Pattern Recognition, 2022Hao Tang, Jinhui Tang, Zechao Li
exaly
Multi-Scale Metric Learning for Few-Shot Learning
IEEE Transactions on Circuits and Systems for Video Technology, 2021Wen Jiang, Jie Geng, Xinyang Deng
exaly
Graph representation learning has garnered significant attention due to its outstanding performance across numerous real-world applications, such as social network analysis, bioinformatics, and recommendation systems. However, supervised graph representation learning models often struggle with label sparsity, as data labeling is time-consuming and ...
Zhang, Chuxu, Ding, Kaize, Li, Jundong
openaire +1 more source
Zhang, Chuxu, Ding, Kaize, Li, Jundong
openaire +1 more source
LibFewShot: A Comprehensive Library for Few-Shot Learning
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023Wenbin Li, 子翊 王, Xuesong Yang
exaly
A concise review of recent few-shot meta-learning methods
Neurocomputing, 2021Xiaoxu Li, Zhuo Sun, Jing-Hao Xue
exaly
SAPENet: Self-Attention based Prototype Enhancement Network for Few-shot Learning
Pattern Recognition, 2023XILANG HUANG, Seon Han Choi
exaly
Interactive Few-Shot Learning: Limited Supervision, Better Medical Image Segmentation
IEEE Transactions on Medical Imaging, 2021Ruiwei Feng, Jintai Chen, Wenzhe Wang
exaly