321 related articles for article (PubMed ID: 33178000)
1. Unsupervised Few-Shot Feature Learning via Self-Supervised Training.
Ji Z; Zou X; Huang T; Wu S
Front Comput Neurosci; 2020; 14():83. PubMed ID: 33178000
[TBL] [Abstract][Full Text] [Related]
2. Sample-Centric Feature Generation for Semi-Supervised Few-Shot Learning.
Zhang B; Ye H; Yu G; Wang B; Wu Y; Fan J; Chen T
IEEE Trans Image Process; 2022; 31():2309-2320. PubMed ID: 35245196
[TBL] [Abstract][Full Text] [Related]
3. Few-Shot Learning With a Strong Teacher.
Ye HJ; Ming L; Zhan DC; Chao WL
IEEE Trans Pattern Anal Mach Intell; 2024 Mar; 46(3):1425-1440. PubMed ID: 35298376
[TBL] [Abstract][Full Text] [Related]
4. How to Trust Unlabeled Data? Instance Credibility Inference for Few-Shot Learning.
Wang Y; Zhang L; Yao Y; Fu Y
IEEE Trans Pattern Anal Mach Intell; 2022 Oct; 44(10):6240-6253. PubMed ID: 34081579
[TBL] [Abstract][Full Text] [Related]
5. Boosting few-shot confocal endomicroscopy image recognition with feature-level MixSiam.
Zhou J; Dong X; Liu Q
Biomed Opt Express; 2023 Mar; 14(3):1054-1070. PubMed ID: 36950231
[TBL] [Abstract][Full Text] [Related]
6. Heterogeneous Pseudo-Supervised Learning for Few-shot Person Re-Identification.
Zhao J; Lan L; Huang D; Ren J; Yang W
Neural Netw; 2022 Oct; 154():521-537. PubMed ID: 35987063
[TBL] [Abstract][Full Text] [Related]
7. Meta-Transfer Learning Through Hard Tasks.
Sun Q; Liu Y; Chen Z; Chua TS; Schiele B
IEEE Trans Pattern Anal Mach Intell; 2022 Mar; 44(3):1443-1456. PubMed ID: 32822293
[TBL] [Abstract][Full Text] [Related]
8. Few Shot Class Incremental Learning via Efficient Prototype Replay and Calibration.
Zhang W; Gu X
Entropy (Basel); 2023 May; 25(5):. PubMed ID: 37238532
[TBL] [Abstract][Full Text] [Related]
9. Semi-supervised few-shot learning approach for plant diseases recognition.
Li Y; Chao X
Plant Methods; 2021 Jun; 17(1):68. PubMed ID: 34176505
[TBL] [Abstract][Full Text] [Related]
10. Revisiting Unsupervised Meta-Learning via the Characteristics of Few-Shot Tasks.
Ye HJ; Han L; Zhan DC
IEEE Trans Pattern Anal Mach Intell; 2023 Mar; 45(3):3721-3737. PubMed ID: 35648875
[TBL] [Abstract][Full Text] [Related]
11. Bridging the Gap Between Few-Shot and Many-Shot Learning via Distribution Calibration.
Yang S; Wu S; Liu T; Xu M
IEEE Trans Pattern Anal Mach Intell; 2022 Dec; 44(12):9830-9843. PubMed ID: 34860647
[TBL] [Abstract][Full Text] [Related]
12. Learning to Learn Adaptive Classifier-Predictor for Few-Shot Learning.
Lai N; Kan M; Han C; Song X; Shan S
IEEE Trans Neural Netw Learn Syst; 2021 Aug; 32(8):3458-3470. PubMed ID: 32755872
[TBL] [Abstract][Full Text] [Related]
13. MMT: Cross Domain Few-Shot Learning via Meta-Memory Transfer.
Wang W; Duan L; Wang Y; Fan J; Zhang Z
IEEE Trans Pattern Anal Mach Intell; 2023 Dec; 45(12):15018-15035. PubMed ID: 37594873
[TBL] [Abstract][Full Text] [Related]
14. Few-shot disease recognition algorithm based on supervised contrastive learning.
Mu J; Feng Q; Yang J; Zhang J; Yang S
Front Plant Sci; 2024; 15():1341831. PubMed ID: 38384766
[TBL] [Abstract][Full Text] [Related]
15. Self-augmentation: Generalizing deep networks to unseen classes for few-shot learning.
Seo JW; Jung HG; Lee SW
Neural Netw; 2021 Jun; 138():140-149. PubMed ID: 33652370
[TBL] [Abstract][Full Text] [Related]
16. Semi Supervised Learning with Deep Embedded Clustering for Image Classification and Segmentation.
Enguehard J; O'Halloran P; Gholipour A
IEEE Access; 2019; 7():11093-11104. PubMed ID: 31588387
[TBL] [Abstract][Full Text] [Related]
17. Hybrid unsupervised representation learning and pseudo-label supervised self-distillation for rare disease imaging phenotype classification with dispersion-aware imbalance correction.
Sun J; Wei D; Wang L; Zheng Y
Med Image Anal; 2024 Apr; 93():103102. PubMed ID: 38367598
[TBL] [Abstract][Full Text] [Related]
18. Improving Embedding Generalization in Few-Shot Learning With Instance Neighbor Constraints.
Zhou Z; Luo L; Liao Q; Liu X; Zhu E
IEEE Trans Image Process; 2023; 32():5197-5208. PubMed ID: 37669186
[TBL] [Abstract][Full Text] [Related]
19. Multi-Learner Based Deep Meta-Learning for Few-Shot Medical Image Classification.
Jiang H; Gao M; Li H; Jin R; Miao H; Liu J
IEEE J Biomed Health Inform; 2023 Jan; 27(1):17-28. PubMed ID: 36251917
[TBL] [Abstract][Full Text] [Related]
20. Negatives Make a Positive: An Embarrassingly Simple Approach to Semi-Supervised Few-Shot Learning.
Wei XS; Xu HY; Yang Z; Duan CL; Peng Y
IEEE Trans Pattern Anal Mach Intell; 2024 Apr; 46(4):2091-2103. PubMed ID: 37971914
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
