搜索小样本共有 17 个结果
1
Few-shot text classification based on question-oriented prompt-tuning
2025年第3期 : 708-713
doi:10.19734/j.issn.1001-3695.2024.07.0259
2
Cross domain human action generalization recognition model based on small sample size and randomization
2025年第3期 : 849-855
doi:10.19734/j.issn.1001-3695.2024.05.0308
3
Entity semantic-priority prompt learning method for few-shot named entity recognition
2024年第12期 : 3622-3627
doi:10.19734/j.issn.1001-3695.2024.04.0160
4
Few-shot ICD automatic coding method based on prompt learning and hypersphere prototypes
2024年第9期 : 2670-2677
doi:10.19734/j.issn.1001-3695.2024.01.0031
5
Deep semi-supervised learning approach for few-shot segmentation of surface defects on metal workpieces
2024年第8期 : 2540-2545
doi:10.19734/j.issn.1001-3695.2023.10.0560
6
Deep mask Brownian distance covariance for few-shot classification
2024年第7期 : 2229-2234
doi:10.19734/j.issn.1001-3695.2023.09.0514
7
Few-shot classification model incorporating multi-granular attention features
2024年第7期 : 2235-2240
doi:10.19734/j.issn.1001-3695.2023.09.0513
8
Survey on few-shot learning for deep network
2023年第10期 : 2881-2888,2895
doi:10.19734/j.issn.1001-3695.2023.02.0074
9
Dual-metric siamese neural network for few-shot learning
2023年第9期 : 2851-2855
doi:10.19734/j.issn.1001-3695.2022.11.0807
10
Graph-UNet for material image segmentation
2022年第10期 : 3196-3200
doi:10.19734/j.issn.1001-3695.2022.03.0132
11
Adaptive capsule network for few-shot relation extraction
2022年第8期 : 2357-2362
doi:10.19734/j.issn.1001-3695.2021.12.0702
12
Multi-feature fusion and few-shot relation extraction based on semantic enhancement
2022年第6期 : 1663-1667
doi:10.19734/j.issn.1001-3695.2021.11.0626
13
Research on radar action recognition method based on FT_SSIM and ICAGA_CNN in small sample scenes
2022年第4期 : 1105-1110
doi:10.19734/j.issn.1001-3695.2021.09.0378
14
Influence function based method on cross-domain few-shot person Re-ID problem
2022年第4期 : 1242-1246
doi:10.19734/j.issn.1001-3695.2021.07.0331
15
Research on equipment life prediction based on machine learning combined algorithm under unknown small sample unbalanced data
2021年第11期 : 3366-3370,3375
doi:10.19734/j.issn.1001-3695.2021.04.0119
16
Equipment health prognosis based on IPSO-BSVM under small and imbalanced sample data
2021年第4期 : 1119-1122,1127
doi:10.19734/j.issn.1001-3695.2020.04.0088
17
Research of small-sample-size based on hyperbolic cosine matrix discriminant analysis
2020年第8期 : 2517-2521
doi:10.19734/j.issn.1001-3695.2019.01.0099