98 related articles for article (PubMed ID: 37812558)
1. Simple Primitives With Feasibility- and Contextuality-Dependence for Open-World Compositional Zero-Shot Learning.
Liu Z; Li Y; Yao L; Chang X; Fang W; Wu X; Saddik AE
IEEE Trans Pattern Anal Mach Intell; 2024 Jan; 46(1):543-560. PubMed ID: 37812558
[TBL] [Abstract][Full Text] [Related]
2. Learning Graph Embeddings for Open World Compositional Zero-Shot Learning.
Mancini M; Naeem MF; Xian Y; Akata Z
IEEE Trans Pattern Anal Mach Intell; 2024 Mar; 46(3):1545-1560. PubMed ID: 35353693
[TBL] [Abstract][Full Text] [Related]
3. Augmented semantic feature based generative network for generalized zero-shot learning.
Li Z; Chen Q; Liu Q
Neural Netw; 2021 Nov; 143():1-11. PubMed ID: 34051525
[TBL] [Abstract][Full Text] [Related]
4. Semantic-visual shared knowledge graph for zero-shot learning.
Yu B; Xie C; Tang P; Li B
PeerJ Comput Sci; 2023; 9():e1260. PubMed ID: 37346689
[TBL] [Abstract][Full Text] [Related]
5. Modality independent adversarial network for generalized zero shot image classification.
Zhang H; Wang Y; Long Y; Yang L; Shao L
Neural Netw; 2021 Feb; 134():11-22. PubMed ID: 33278759
[TBL] [Abstract][Full Text] [Related]
6. Bias-Eliminated Semantic Refinement for Any-Shot Learning.
Feng L; Zhao C; Li X
IEEE Trans Image Process; 2022; 31():2229-2244. PubMed ID: 35213308
[TBL] [Abstract][Full Text] [Related]
7. Learning to Infer Unseen Single-/ Multi-Attribute-Object Compositions With Graph Networks.
Chen H; Jiang J; Zheng N
IEEE Trans Pattern Anal Mach Intell; 2023 Oct; 45(10):12022-12037. PubMed ID: 37819807
[TBL] [Abstract][Full Text] [Related]
8. Generative Zero-Shot Learning via Low-Rank Embedded Semantic Dictionary.
Ding Z; Shao M; Fu Y
IEEE Trans Pattern Anal Mach Intell; 2019 Dec; 41(12):2861-2874. PubMed ID: 30176581
[TBL] [Abstract][Full Text] [Related]
9. Position-Aware Relational Transformer for Knowledge Graph Embedding.
Li G; Sun Z; Hu W; Cheng G; Qu Y
IEEE Trans Neural Netw Learn Syst; 2023 Apr; PP():. PubMed ID: 37018088
[TBL] [Abstract][Full Text] [Related]
10. Multi-label zero-shot learning with graph convolutional networks.
Ou G; Yu G; Domeniconi C; Lu X; Zhang X
Neural Netw; 2020 Dec; 132():333-341. PubMed ID: 32977278
[TBL] [Abstract][Full Text] [Related]
11. Multi-view graph representation with similarity diffusion for general zero-shot learning.
Yu B; Xie C; Tang P; Duan H
Neural Netw; 2023 Sep; 166():38-50. PubMed ID: 37480768
[TBL] [Abstract][Full Text] [Related]
12. Cross Knowledge-based Generative Zero-Shot Learning approach with Taxonomy Regularization.
Xie C; Xiang H; Zeng T; Yang Y; Yu B; Liu Q
Neural Netw; 2021 Jul; 139():168-178. PubMed ID: 33721699
[TBL] [Abstract][Full Text] [Related]
13. Tf-GCZSL: Task-free generalized continual zero-shot learning.
Gautam C; Parameswaran S; Mishra A; Sundaram S
Neural Netw; 2022 Nov; 155():487-497. PubMed ID: 36162233
[TBL] [Abstract][Full Text] [Related]
14. Exemplar-Based, Semantic Guided Zero-Shot Visual Recognition.
Zhang C; Liang C; Zhao Y
IEEE Trans Image Process; 2022; 31():3056-3065. PubMed ID: 35385381
[TBL] [Abstract][Full Text] [Related]
15. Semantic-Guided Class-Imbalance Learning Model for Zero-Shot Image Classification.
Ji Z; Yu X; Yu Y; Pang Y; Zhang Z
IEEE Trans Cybern; 2022 Jul; 52(7):6543-6554. PubMed ID: 34043516
[TBL] [Abstract][Full Text] [Related]
16. Visual-guided attentive attributes embedding for zero-shot learning.
Zhang R; Zhu Q; Xu X; Zhang D; Huang SJ
Neural Netw; 2021 Nov; 143():709-718. PubMed ID: 34425510
[TBL] [Abstract][Full Text] [Related]
17. Attributes learning network for generalized zero-shot learning.
Yun Y; Wang S; Hou M; Gao Q
Neural Netw; 2022 Jun; 150():112-118. PubMed ID: 35316735
[TBL] [Abstract][Full Text] [Related]
18. Zero-Shot Learning via Robust Latent Representation and Manifold Regularization.
Meng M; Yu J
IEEE Trans Image Process; 2019 Apr; 28(4):1824-1836. PubMed ID: 30452368
[TBL] [Abstract][Full Text] [Related]
19. Semi-Supervised Low-Rank Semantics Grouping for Zero-Shot Learning.
Xu B; Zeng Z; Lian C; Ding Z
IEEE Trans Image Process; 2021; 30():2207-2219. PubMed ID: 33471756
[TBL] [Abstract][Full Text] [Related]
20. Investigating object compositionality in Generative Adversarial Networks.
van Steenkiste S; Kurach K; Schmidhuber J; Gelly S
Neural Netw; 2020 Oct; 130():309-325. PubMed ID: 32736226
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]