Dong, H.Z.[Han-Ze],
Fu, Y.W.[Yan-Wei],
Hwang, S.J.[Sung Ju],
Sigal, L.[Leonid],
Xue, X.Y.[Xiang-Yang],
Learning the Compositional Domains for Generalized Zero-shot Learning,
CVIU(221), 2022, pp. 103454.
Elsevier DOI
2206
Generalized Zero-shot Learning, Open Set Learning, Domain division
BibRef
Xu, Z.W.[Zi-Wei],
Wang, G.Z.[Guang-Zhi],
Wong, Y.K.[Yong-Kang],
Kankanhalli, M.S.[Mohan S.],
Relation-Aware Compositional Zero-Shot Learning for Attribute-Object
Pair Recognition,
MultMed(24), 2022, pp. 3652-3664.
IEEE DOI
2207
Visualization, Task analysis, Semantics, Training, Image recognition,
Feature extraction, Computational modeling, message passing
BibRef
Patil, C.[Charulata],
Abhyankar, A.[Aditya],
Decoupled contributed attribute-object composition detection,
IVC(131), 2023, pp. 104630.
Elsevier DOI
2303
Compositional zero shot learning,
Composite representation learning, Attribute detection, Computer vision
BibRef
Yang, M.[Muli],
Xu, C.H.[Cheng-Hao],
Wu, A.[Aming],
Deng, C.[Cheng],
A Decomposable Causal View of Compositional Zero-Shot Learning,
MultMed(25), 2023, pp. 5892-5902.
IEEE DOI
2311
BibRef
Yang, Y.H.[Yan-Hua],
Pan, R.[Rui],
Li, X.Y.[Xiang-Yu],
Yang, X.[Xu],
Deng, C.[Cheng],
Dual-Stream Contrastive Learning for Compositional Zero-Shot
Recognition,
MultMed(26), 2024, pp. 1909-1919.
IEEE DOI
2402
Visualization, Task analysis, Correlation, Semantics, Training,
Prototypes, Feature extraction, Compositional Zero-Shot learning,
transfer learning
BibRef
Li, X.Y.[Xiang-Yu],
Yang, X.[Xu],
Wei, K.[Kun],
Deng, C.[Cheng],
Yang, M.[Muli],
Siamese Contrastive Embedding Network for Compositional Zero-Shot
Learning,
CVPR22(9316-9325)
IEEE DOI
2210
Training, Deep learning, Visualization, Prototypes, Training data,
Robustness, Transfer/low-shot/long-tail learning,
Deep learning architectures and techniques
BibRef
Jiang, C.[Chenyi],
Ye, Q.L.[Qiao-Lin],
Wang, S.D.[Shi-Dong],
Shen, Y.M.[Yu-Ming],
Zhang, Z.[Zheng],
Zhang, H.F.[Hao-Feng],
Mutual Balancing in State-Object Components for Compositional
Zero-Shot Learning,
PR(152), 2024, pp. 110451.
Elsevier DOI Code:
WWW Link.
2405
Compositional Zero-Shot Learning, Image classification,
Visual-attribute, Mutual Balancing
BibRef
Shuang, F.[Feng],
Li, J.H.[Jia-Huan],
Huang, Q.B.[Qing-Bao],
Zhao, W.[Wenye],
Xu, D.S.[Dong-Sheng],
Han, C.[Chao],
Cheng, H.[Haonan],
Visual primitives as words: Alignment and interaction for
compositional zero-shot learning,
PR(157), 2025, pp. 110814.
Elsevier DOI
2409
Compositional zero-shot learning,
Attribute-object composition, Vision-language model, Prompt tuning
BibRef
Liu, Y.[Yu],
Li, J.H.[Jiang-Hao],
Zhang, Y.[Yanyi],
Jia, Q.[Qi],
Wang, W.M.[Wei-Min],
Pu, N.[Nan],
Sebe, N.[Nicu],
PMGNet: Disentanglement and entanglement benefit mutually for
compositional zero-shot learning,
CVIU(249), 2024, pp. 104197.
Elsevier DOI
2412
Compositional Zero-shot Learning, Contextuality,
Generalizability, Mutual Learning
BibRef
Panda, A.[Aditya],
Mukherjee, D.P.[Dipti Prasad],
Compositional Zero-Shot Learning using Multi-Branch Graph Convolution
and Cross-layer Knowledge Sharing,
PR(145), 2024, pp. 109916.
Elsevier DOI
2311
Compositional zero shot, Knowledge sharing,
State-object composition, Feasibility assessment, Graph convolution
BibRef
Liu, Z.[Zhe],
Li, Y.[Yun],
Yao, L.[Lina],
Chang, X.J.[Xiao-Jun],
Fang, W.[Wei],
Wu, X.J.[Xiao-Jun],
El Saddik, A.[Abdulmotaleb],
Simple Primitives With Feasibility- and Contextuality-Dependence for
Open-World Compositional Zero-Shot Learning,
PAMI(46), No. 1, January 2024, pp. 543-560.
IEEE DOI
2312
BibRef
Mancini, M.[Massimiliano],
Naeem, M.F.[Muhammad Ferjad],
Xian, Y.Q.[Yong-Qin],
Akata, Z.[Zeynep],
Learning Graph Embeddings for Open World Compositional Zero-Shot
Learning,
PAMI(46), No. 3, March 2024, pp. 1545-1560.
IEEE DOI
2402
Visualization, Training, Standards, Task analysis, Dogs,
Convolutional neural networks, Smoothing methods,
scene understanding
BibRef
Karthik, S.[Shyamgopal],
Mancini, M.[Massimiliano],
Akata, Z.[Zeynep],
KG-SP: Knowledge Guided Simple Primitives for Open World
Compositional Zero-Shot Learning,
CVPR22(9326-9335)
IEEE DOI
2210
Training, Visualization, Image recognition, Computational modeling,
Knowledge based systems, Semisupervised learning,
Representation learning
BibRef
Khan, M.G.Z.A.[Muhammad Gul Zain Ali],
Naeem, M.F.[Muhammad Ferjad],
Van Gool, L.J.[Luc J.],
Pagani, A.,
Stricker, D.[Didier],
Afzal, M.Z.[Muhammad Zeshan],
Learning Attention Propagation for Compositional Zero-Shot Learning,
WACV23(3817-3826)
IEEE DOI
2302
Training, Visualization, Buildings, Dogs, Bicycles, Benchmark testing,
Algorithms: Image recognition and understanding (object detection,
and un-supervised learning)
BibRef
Naeem, M.F.[Muhammad Ferjad],
Örnek, E.P.[Evin Pinar],
Xian, Y.Q.[Yong-Qin],
Van Gool, L.J.[Luc J.],
Tombari, F.[Federico],
3D Compositional Zero-Shot Learning with DeCompositional Consensus,
ECCV22(XXVIII:713-730).
Springer DOI
2211
BibRef
Naeem, M.F.[Muhammad Ferjad],
Xian, Y.Q.[Yong-Qin],
Tombari, F.[Federico],
Akata, Z.[Zeynep],
Learning Graph Embeddings for Compositional Zero-shot Learning,
CVPR21(953-962)
IEEE DOI
2111
Training, Visualization, Knowledge based systems, Semantics, Dogs,
Benchmark testing
BibRef
Mancini, M.[Massimiliano],
Naeem, M.F.[Muhammad Ferjad],
Xian, Y.Q.[Yong-Qin],
Akata, Z.[Zeynep],
Open World Compositional Zero-Shot Learning,
CVPR21(5218-5226)
IEEE DOI
2111
Training, Degradation, Visualization,
Computational modeling, Knowledge based systems, Benchmark testing
BibRef
Ma, X.J.[Xing-Jiang],
Yang, J.[Jing],
Lin, J.C.[Jia-Cheng],
Zheng, Z.Z.[Zhen-Zhe],
Li, S.B.[Shao-Bo],
Hu, B.Q.[Bing-Qi],
Tang, X.H.[Xiang-Hong],
LVAR-CZSL: Learning Visual Attributes Representation for
Compositional Zero-Shot Learning,
CirSysVideo(34), No. 12, December 2024, pp. 13311-13323.
IEEE DOI Code:
WWW Link.
2501
Visualization, Feature extraction, Dogs, Task analysis, Attention mechanisms,
Zero-shot learning, inter-class connectivity
BibRef
Zhang, T.[Tian],
Liang, K.M.[Kong-Ming],
Du, R.Y.[Ruo-Yi],
Chen, W.[Wei],
Ma, Z.Y.[Zhan-Yu],
Disentangling Before Composing: Learning Invariant Disentangled
Features for Compositional Zero-Shot Learning,
PAMI(47), No. 2, February 2025, pp. 1132-1147.
IEEE DOI
2501
Training, Object oriented modeling, Zero shot learning,
Visualization, Testing, Correlation, Data models, Training data,
out-of-distribution generalization
BibRef
Zhang, T.[Tian],
Liang, K.M.[Kong-Ming],
Du, R.Y.[Ruo-Yi],
Sun, X.[Xian],
Ma, Z.Y.[Zhan-Yu],
Guo, J.[Jun],
Learning Invariant Visual Representations for Compositional Zero-Shot
Learning,
ECCV22(XXIV:339-355).
Springer DOI
2211
BibRef
Jiang, C.Y.[Chen-Yi],
Wang, S.D.[Shi-Dong],
Long, Y.[Yang],
Li, Z.C.[Ze-Chao],
Zhang, H.F.[Hao-Feng],
Shao, L.[Ling],
Imaginary-Connected Embedding in Complex Space for Unseen
Attribute-Object Discrimination,
PAMI(47), No. 3, March 2025, pp. 1395-1413.
IEEE DOI
2502
Recognize novel compositions of primitives.
Compositional.
Visualization, Cognition, Prototypes, Semantics, Zero shot learning,
Extraterrestrial measurements, Dogs, Training, Phase measurement,
open-world classification
BibRef
Min, L.T.[Ling-Tong],
Fan, Z.[Ziman],
Wang, S.Z.[Shun-Zhou],
Dou, F.Y.[Fei-Yang],
Li, X.[Xin],
Wang, B.L.[Bing-Lu],
Adaptive Fusion Learning for Compositional Zero-Shot Recognition,
MultMed(27), 2025, pp. 1193-1204.
IEEE DOI
2503
Visualization, Training, Zero shot learning, Text recognition,
Adaptation models, Accuracy, Transformers, Predictive models,
visual encoder
BibRef
Jiang, H.[Han],
Chen, C.F.[Chao-Fan],
Yang, X.S.[Xiao-Shan],
Xu, C.S.[Chang-Sheng],
Compact Latent Primitive Space Learning for Compositional Zero-Shot
Learning,
MultMed(27), 2025, pp. 4297-4308.
IEEE DOI
2507
Visualization, Zero shot learning, Encoding, Image reconstruction,
Training, Semantics, Learning systems, Iris recognition, feature coding
BibRef
Liu, Y.[Yang],
Wang, X.[Xinshuo],
Gao, X.B.[Xin-Bo],
Han, J.G.[Jun-Gong],
Shao, L.[Ling],
Multi-Level Contextual Prototype Modulation for Compositional
Zero-Shot Learning,
IP(34), 2025, pp. 4856-4868.
IEEE DOI
2508
Visualization, Prototypes, Contrastive learning, Modulation,
Training, Zero shot learning, Feature extraction, Transformers,
data augmentation
BibRef
Wang, Q.S.[Qing-Sheng],
Liu, L.Q.[Ling-Qiao],
Jing, C.C.[Chen-Chen],
Wang, P.[Peng],
Zhang, Y.N.[Yan-Ning],
Shen, C.H.[Chun-Hua],
Learning Dual-Stream Conditional Concepts in Compositional Zero-Shot
Learning,
PAMI(47), No. 11, November 2025, pp. 10076-10093.
IEEE DOI
2510
Visualization, Semantics, Image recognition, Zero shot learning,
Streaming media, Dairy products, Feature extraction, zero-shot learning
BibRef
Wang, Q.S.[Qing-Sheng],
Liu, L.Q.[Ling-Qiao],
Jing, C.C.[Chen-Chen],
Chen, H.[Hao],
Liang, G.Q.[Guo-Qiang],
Wang, P.[Peng],
Shen, C.H.[Chun-Hua],
Learning Conditional Attributes for Compositional Zero-Shot Learning,
CVPR23(11197-11206)
IEEE DOI
2309
BibRef
Chen, Z.[Ziyi],
Zhao, X.[Xinru],
Lang, C.Y.[Cong-Yan],
Wei, L.[Lili],
Wang, T.[Tao],
Li, Y.D.[Yi-Dong],
Learning Diversified Primitive Prompts for Compositional Zero-Shot
Learning,
CirSysVideo(35), No. 10, October 2025, pp. 10423-10436.
IEEE DOI
2510
Visualization, Training, Zero shot learning, Semantics,
Image recognition, Large language models, joint-prompt learning
BibRef
Deng, F.Q.[Fu-Qin],
Tang, C.[Caiyun],
Fu, L.[Lanhui],
Jin, W.[Wei],
Zhong, J.M.[Jia-Ming],
Wang, H.M.[Hong-Ming],
Li, N.N.[Nan-Nan],
GNN-based primitive recombination for compositional zero-shot
learning,
IVC(163), 2025, pp. 105762.
Elsevier DOI
2511
Compositional zero-shot learning,
Contrastive language-image pre-training, Graph neural network
BibRef
Yu, X.W.[Xiao-Wei],
Zhang, L.[Lu],
Wu, Z.[Zihao],
Zhu, D.J.[Da-Jiang],
Core-Periphery Multi-Modality Feature Alignment for Zero-Shot Medical
Image Analysis,
MedImg(44), No. 10, October 2025, pp. 3973-3983.
IEEE DOI
2511
Biomedical imaging, Feature extraction, Biological neural networks,
Contrastive learning, Diseases, Lung, brain-inspired AI
BibRef
Jiang, H.[Han],
Yang, X.S.[Xiao-Shan],
Chen, C.F.[Chao-Fan],
Xu, C.S.[Chang-Sheng],
SPDQ: Synergetic Prompts as Disentanglement Queries for Compositional
Zero-Shot Learning,
MultMed(27), 2025, pp. 8888-8899.
IEEE DOI
2511
Visualization, Tuning, Adaptation models, Zero shot learning,
Training, Artificial intelligence, Modulation, Data mining, prompt tuning
BibRef
Jiang, D.Y.[Dong-Yao],
Jing, H.D.[Hao-Dong],
Ma, Y.Q.[Yong-Qiang],
Zheng, N.N.[Nan-Ning],
Beyond Image Classification: A Video Benchmark and Dual-Branch Hybrid
Discrimination Framework for Compositional Zero-Shot Learning,
CVPR25(9860-9869)
IEEE DOI
2508
Visualization, Zero shot learning, Benchmark testing,
Market research, Cognition, Robustness, Decoding, Videos, cross attention
BibRef
Saini, N.[Nirat],
Pham, K.[Khoi],
Shrivastava, A.[Abhinav],
Beyond Seen Primitive Concepts and Attribute-Object Compositional
Learning,
CVPR24(14466-14476)
IEEE DOI Code:
WWW Link.
2410
Vocabulary, Correlation, Zero-shot learning, Semantics, Benchmark testing,
Open Vocabulary, Attributes of Objects
BibRef
Bao, W.T.[Wen-Tao],
Chen, L.[Lichang],
Huang, H.[Heng],
Kong, Y.[Yu],
Prompting Language-informed Distribution for Compositional Zero-Shot
Learning,
ECCV24(XIV: 107-123).
Springer DOI
2412
BibRef
Shi, Y.Y.[Yu-Yan],
Jiang, C.[Chenyi],
Shi, R.[Run],
Zhang, H.F.[Hao-Feng],
Do They Share the Same Tail? Learning Individual Compositional
Attribute Prototype for Generalized Zero-shot Learning,
ACCV24(III: 239-256).
Springer DOI
2412
BibRef
Huang, S.T.[Si-Teng],
Gong, B.[Biao],
Feng, Y.T.[Yu-Tong],
Zhang, M.[Min],
Lv, Y.L.[Yi-Liang],
Wang, D.L.[Dong-Lin],
Troika: Multi-Path Cross-Modal Traction for Compositional Zero-Shot
Learning,
CVPR24(24005-24014)
IEEE DOI Code:
WWW Link.
2410
Visualization, Adaptation models, Limiting, Codes,
Zero-shot learning, Benchmark testing, Troika
BibRef
Zheng, Z.H.[Zhao-Heng],
Zhu, H.D.[Hai-Dong],
Nevatia, R.[Ram],
CAILA: Concept-Aware Intra-Layer Adapters for Compositional Zero-Shot
Learning,
WACV24(1710-1720)
IEEE DOI
2404
Adaptation models, Zero-shot learning, Semantics,
Benchmark testing, Feature extraction,
Vision + language and/or other modalities
BibRef
Xu, G.Y.[Guang-Yue],
Chai, J.[Joyce],
Kordjamshidi, P.[Parisa],
GIPCOL: Graph-Injected Soft Prompting for Compositional Zero-Shot
Learning,
WACV24(5762-5771)
IEEE DOI
2404
Training, Image recognition, Zero-shot learning,
Computational modeling, Training data, Benchmark testing
BibRef
Kim, H.[Hanjae],
Lee, J.Y.[Ji-Young],
Park, S.[Seongheon],
Sohn, K.H.[Kwang-Hoon],
Hierarchical Visual Primitive Experts for Compositional Zero-Shot
Learning,
ICCV23(5652-5662)
IEEE DOI Code:
WWW Link.
2401
BibRef
Lu, X.C.[Xiao-Cheng],
Guo, S.[Song],
Liu, Z.M.[Zi-Ming],
Guo, J.C.[Jing-Cai],
Decomposed Soft Prompt Guided Fusion Enhancing for Compositional
Zero-Shot Learning,
CVPR23(23560-23569)
IEEE DOI
2309
BibRef
Hao, S.Z.[Shao-Zhe],
Han, K.[Kai],
Wong, K.Y.K.[Kwan-Yee K.],
Learning Attention as Disentangler for Compositional Zero-Shot
Learning,
CVPR23(15315-15324)
IEEE DOI
2309
BibRef
Li, Y.[Yun],
Liu, Z.[Zhe],
Jha, S.[Saurav],
Yao, L.[Lina],
Distilled Reverse Attention Network for Open-world Compositional
Zero-Shot Learning,
ICCV23(1782-1791)
IEEE DOI
2401
BibRef
Panda, A.[Aditya],
Santra, B.[Bikash],
Mukherjee, D.P.[Dipti Prasad],
Bi-Modal Compositional Network for Feature Disentanglement,
ICIP22(3051-3055)
IEEE DOI
2211
New compositions of known objects.
Visualization, Benchmark testing, Object recognition, composition,
disentanglement, CZSL, state-object composition, compositional zero shot
BibRef
Purushwalkam, S.,
Nickel, M.,
Gupta, A.,
Ranzato, M.,
Task-Driven Modular Networks for Zero-Shot Compositional Learning,
ICCV19(3592-3601)
IEEE DOI
2004
image classification, learning (artificial intelligence),
neural nets, zero-shot classification,
Semantics
BibRef
Chapter on Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms continues in
Zero-Shot Learning for Vision Transformers .