Imagen de Portada

Exploring Partial Multi-Label Learning via Integrating Semantic Co-occurrence Knowledge

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Wu, Xin, Teng, Fei, Feng, Yue, Shi, Kaibo, Lin, Zhuosheng, Zhang, Ji, Wang, James
Formato:	Preprint
Publicado:	2025
Materias:	Computer Vision and Pattern Recognition Artificial Intelligence
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Dual-Perspective Semantic-Aware Representation Blending for Multi-Label Image Recognition with Partial Labels
por: Pu, Tao, et al.
Publicado: (2022)

Heterogeneous Semantic Transfer for Multi-label Recognition with Partial Labels
por: Chen, Tianshui, et al.
Publicado: (2022)

Learning Semantic-Aware Threshold for Multi-Label Image Recognition with Partial Labels
por: Ruan, Haoxian, et al.
Publicado: (2025)

Learning Semantic-Aware Representation in Visual-Language Models for Multi-Label Recognition with Partial Labels
por: Ruan, Haoxian, et al.
Publicado: (2024)

Deep Mutual Learning among Partially Labeled Datasets for Multi-Organ Segmentation
por: Liu, Xiaoyu, et al.
Publicado: (2024)

Epsilon: Exploring Comprehensive Visual-Semantic Projection for Multi-Label Zero-Shot Learning
por: Liu, Ziming, et al.
Publicado: (2024)

Affective Behaviour Analysis via Integrating Multi-Modal Knowledge
por: Zhang, Wei, et al.
Publicado: (2024)

Revising the Problem of Partial Labels from the Perspective of CNNs' Robustness
por: Zhang, Xin, et al.
Publicado: (2024)

TAI++: Text as Image for Multi-Label Image Classification by Co-Learning Transferable Prompt
por: Wu, Xiangyu, et al.
Publicado: (2024)

Multi-Task Label Discovery via Hierarchical Task Tokens for Partially Annotated Dense Predictions
por: Zhang, Jingdong, et al.
Publicado: (2024)

Incomplete Multi-Label Image Recognition by Co-learning Semantic-Aware Features and Label Recovery
por: He, Zhi-Fen, et al.
Publicado: (2025)

Semantic-guided modeling of spatial relation and object co-occurrence for indoor scene recognition
por: Song, Chuanxin, et al.
Publicado: (2023)

Separate and Conquer: Decoupling Co-occurrence via Decomposition and Representation for Weakly Supervised Semantic Segmentation
por: Yang, Zhiwei, et al.
Publicado: (2024)

Semantic-Aware Representation Learning via Conditional Transport for Multi-Label Image Classification
por: Xie, Ren-Dong, et al.
Publicado: (2025)

Exploring Active Learning for Label-Efficient Training of Semantic Neural Radiance Field
por: Zhu, Yuzhe, et al.
Publicado: (2025)

Mitigating Instance Entanglement in Instance-Dependent Partial Label Learning
por: Zhao, Rui, et al.
Publicado: (2026)

CoCoNet: Coupled Contrastive Learning Network with Multi-level Feature Ensemble for Multi-modality Image Fusion
por: Liu, Jinyuan, et al.
Publicado: (2022)

Labeled-to-Unlabeled Distribution Alignment for Partially-Supervised Multi-Organ Medical Image Segmentation
por: Jiang, Xixi, et al.
Publicado: (2024)

KIND: Knowledge Integration and Diversion for Training Decomposable Models
por: Xie, Yucheng, et al.
Publicado: (2024)

Category-Adaptive Cross-Modal Semantic Refinement and Transfer for Open-Vocabulary Multi-Label Recognition
por: Liu, Haijing, et al.
Publicado: (2024)

Partially Supervised Unpaired Multi-Modal Learning for Label-Efficient Medical Image Segmentation
por: Zhu, Lei, et al.
Publicado: (2025)

Semantic Routing: Exploring Multi-Layer LLM Feature Weighting for Diffusion Transformers
por: Li, Bozhou, et al.
Publicado: (2026)

Multi-Label Knowledge Distillation
por: Yang, Penghui, et al.
Publicado: (2023)

Structural and Statistical Texture Knowledge Distillation and Learning for Segmentation
por: Ji, Deyi, et al.
Publicado: (2025)

Category-wise Fine-Tuning: Resisting Incorrect Pseudo-Labels in Multi-Label Image Classification with Partial Labels
por: Chong, Chak Fong, et al.
Publicado: (2024)

IRNet: Iterative Refinement Network for Noisy Partial Label Learning
por: Lian, Zheng, et al.
Publicado: (2022)

PLOOD: Partial Label Learning with Out-of-distribution Objects
por: Huang, Jintao, et al.
Publicado: (2024)

Partial Label Learning for Emotion Recognition from EEG
por: Zhang, Guangyi, et al.
Publicado: (2023)

Joint-Task Regularization for Partially Labeled Multi-Task Learning
por: Nishi, Kento, et al.
Publicado: (2024)

A Deep Model for Partial Multi-Label Image Classification with Curriculum Based Disambiguation
por: Sun, Feng, et al.
Publicado: (2022)

Towards a Golden Classifier-Free Guidance Path via Foresight Fixed Point Iterations
por: Wang, Kaibo, et al.
Publicado: (2025)

MTPano: Multi-Task Panoramic Scene Understanding via Label-Free Integration of Dense Prediction Priors
por: Zhang, Jingdong, et al.
Publicado: (2026)

Multi-Stage Knowledge Integration of Vision-Language Models for Continual Learning
por: Zhang, Hongsheng, et al.
Publicado: (2024)

LNL+K: Enhancing Learning with Noisy Labels Through Noise Source Knowledge Integration
por: Wang, Siqi, et al.
Publicado: (2023)

SeG-SR: Integrating Semantic Knowledge into Remote Sensing Image Super-Resolution via Vision-Language Model
por: Chen, Bowen, et al.
Publicado: (2025)

PSVMA+: Exploring Multi-granularity Semantic-visual Adaption for Generalized Zero-shot Learning
por: Liu, Man, et al.
Publicado: (2024)

Point2RBox-v3: Self-Bootstrapping from Point Annotations via Integrated Pseudo-Label Refinement and Utilization
por: Zhang, Teng, et al.
Publicado: (2025)

Hierarchical Semantic Learning for Multi-Class Aorta Segmentation
por: Shi, Pengcheng
Publicado: (2025)

Knowledge Distillation for Semantic Segmentation: A Label Space Unification Approach
por: Backhaus, Anton, et al.
Publicado: (2025)

Pseudo-labelling meets Label Smoothing for Noisy Partial Label Learning
por: Saravanan, Darshana, et al.
Publicado: (2024)