Graph Integrated Multimodal Concept Bottleneck Model
Fuente:
arXiv
Guardado en:
| Autores principales: | Lin, Jiakai, Zhang, Jinchang, Lu, Guoyu |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Keypoint Detection and Description for Raw Bayer Images
por: Lin, Jiakai, et al.
Publicado: (2025)
por: Lin, Jiakai, et al.
Publicado: (2025)
Automated Genomic Interpretation via Concept Bottleneck Models for Medical Robotics
por: Li, Zijun, et al.
Publicado: (2025)
por: Li, Zijun, et al.
Publicado: (2025)
Adaptive Event Stream Slicing for Open-Vocabulary Event-Based Object Detection via Vision-Language Knowledge Distillation
por: Zhang, Jinchang, et al.
Publicado: (2025)
por: Zhang, Jinchang, et al.
Publicado: (2025)
Vision-Language Embodiment for Monocular Depth Estimation
por: Zhang, Jinchang, et al.
Publicado: (2025)
por: Zhang, Jinchang, et al.
Publicado: (2025)
Underground Mapping and Localization Based on Ground-Penetrating Radar
por: Zhang, Jinchang, et al.
Publicado: (2024)
por: Zhang, Jinchang, et al.
Publicado: (2024)
3D Plant Root Skeleton Detection and Extraction
por: Lin, Jiakai, et al.
Publicado: (2025)
por: Lin, Jiakai, et al.
Publicado: (2025)
Language-Depth Navigated Thermal and Visible Image Fusion
por: Zhang, Jinchang, et al.
Publicado: (2025)
por: Zhang, Jinchang, et al.
Publicado: (2025)
Fractal Autoregressive Depth Estimation with Continuous Token Diffusion
por: Zhang, Jinchang, et al.
Publicado: (2026)
por: Zhang, Jinchang, et al.
Publicado: (2026)
Depth Estimation Based on 3D Gaussian Splatting Siamese Defocus
por: Zhang, Jinchang, et al.
Publicado: (2024)
por: Zhang, Jinchang, et al.
Publicado: (2024)
Embodiment: Self-Supervised Depth Estimation Based on Camera Models
por: Zhang, Jinchang, et al.
Publicado: (2024)
por: Zhang, Jinchang, et al.
Publicado: (2024)
Integrating Clinical Knowledge into Concept Bottleneck Models
por: Pang, Winnie, et al.
Publicado: (2024)
por: Pang, Winnie, et al.
Publicado: (2024)
On the Concept Trustworthiness in Concept Bottleneck Models
por: Huang, Qihan, et al.
Publicado: (2024)
por: Huang, Qihan, et al.
Publicado: (2024)
Towards Faithful Multimodal Concept Bottleneck Models
por: Moreau, Pierre, et al.
Publicado: (2026)
por: Moreau, Pierre, et al.
Publicado: (2026)
Locality-aware Concept Bottleneck Model
por: Jeon, Sujin, et al.
Publicado: (2025)
por: Jeon, Sujin, et al.
Publicado: (2025)
Partially Shared Concept Bottleneck Models
por: Zhao, Delong, et al.
Publicado: (2025)
por: Zhao, Delong, et al.
Publicado: (2025)
Language Guided Concept Bottleneck Models for Interpretable Continual Learning
por: Yu, Lu, et al.
Publicado: (2025)
por: Yu, Lu, et al.
Publicado: (2025)
Flexible Concept Bottleneck Model
por: Du, Xingbo, et al.
Publicado: (2025)
por: Du, Xingbo, et al.
Publicado: (2025)
V2C-CBM: Building Concept Bottlenecks with Vision-to-Concept Tokenizer
por: He, Hangzhou, et al.
Publicado: (2025)
por: He, Hangzhou, et al.
Publicado: (2025)
Enhancing Concept Localization in CLIP-based Concept Bottleneck Models
por: Kazmierczak, Rémi, et al.
Publicado: (2025)
por: Kazmierczak, Rémi, et al.
Publicado: (2025)
Concept-wise Attention for Fine-grained Concept Bottleneck Models
por: Zhong, Minghong, et al.
Publicado: (2026)
por: Zhong, Minghong, et al.
Publicado: (2026)
Improving Concept Alignment in Vision-Language Concept Bottleneck Models
por: Selvaraj, Nithish Muthuchamy, et al.
Publicado: (2024)
por: Selvaraj, Nithish Muthuchamy, et al.
Publicado: (2024)
Explain via Any Concept: Concept Bottleneck Model with Open Vocabulary Concepts
por: Tan, Andong, et al.
Publicado: (2024)
por: Tan, Andong, et al.
Publicado: (2024)
CLIP-QDA: An Explainable Concept Bottleneck Model
por: Kazmierczak, Rémi, et al.
Publicado: (2023)
por: Kazmierczak, Rémi, et al.
Publicado: (2023)
Chat-CBM: Towards Interactive Concept Bottleneck Models with Frozen Large Language Models
por: He, Hangzhou, et al.
Publicado: (2025)
por: He, Hangzhou, et al.
Publicado: (2025)
Editable Concept Bottleneck Models
por: Hu, Lijie, et al.
Publicado: (2024)
por: Hu, Lijie, et al.
Publicado: (2024)
Concepts in Motion: Temporal Concept Bottleneck Model for Interpretable Video Classification
por: Knab, Patrick, et al.
Publicado: (2025)
por: Knab, Patrick, et al.
Publicado: (2025)
Concept Bottleneck Models Without Predefined Concepts
por: Schrodi, Simon, et al.
Publicado: (2024)
por: Schrodi, Simon, et al.
Publicado: (2024)
Hyperbolic Concept Bottleneck Models
por: Uyterlinde, Daniel, et al.
Publicado: (2026)
por: Uyterlinde, Daniel, et al.
Publicado: (2026)
Representation Forcing for Bottleneck-Free Unified Multimodal Models
por: Wang, Yuqing, et al.
Publicado: (2026)
por: Wang, Yuqing, et al.
Publicado: (2026)
Rethinking Concept Bottleneck Models: From Pitfalls to Solutions
por: Tapli, Merve, et al.
Publicado: (2026)
por: Tapli, Merve, et al.
Publicado: (2026)
DCBM: Data-Efficient Visual Concept Bottleneck Models
por: Prasse, Katharina, et al.
Publicado: (2024)
por: Prasse, Katharina, et al.
Publicado: (2024)
Concepts from Representations: Post-hoc Concept Bottleneck Models via Sparse Decomposition of Visual Representations
por: Gong, Shizhan, et al.
Publicado: (2026)
por: Gong, Shizhan, et al.
Publicado: (2026)
Discovering Fine-Grained Visual-Concept Relations by Disentangled Optimal Transport Concept Bottleneck Models
por: Xie, Yan, et al.
Publicado: (2025)
por: Xie, Yan, et al.
Publicado: (2025)
Concepts Worth Having: Refining VLM-Guided Concept Bottleneck Models with Minimal Annotations
por: Debole, Nicola, et al.
Publicado: (2026)
por: Debole, Nicola, et al.
Publicado: (2026)
CLIP-Free, Label Free, Unsupervised Concept Bottleneck Models
por: Sammani, Fawaz, et al.
Publicado: (2025)
por: Sammani, Fawaz, et al.
Publicado: (2025)
Attribute-formed Class-specific Concept Space: Endowing Language Bottleneck Model with Better Interpretability and Scalability
por: Zhang, Jianyang, et al.
Publicado: (2025)
por: Zhang, Jianyang, et al.
Publicado: (2025)
Uncertainty-Aware Concept Bottleneck Models with Enhanced Interpretability
por: Zhang, Haifei, et al.
Publicado: (2025)
por: Zhang, Haifei, et al.
Publicado: (2025)
Learning New Concepts, Remembering the Old: Continual Learning for Multimodal Concept Bottleneck Models
por: Lai, Songning, et al.
Publicado: (2024)
por: Lai, Songning, et al.
Publicado: (2024)
Semi-supervised Concept Bottleneck Models
por: Hu, Lijie, et al.
Publicado: (2024)
por: Hu, Lijie, et al.
Publicado: (2024)
CAT: Concept-level backdoor ATtacks for Concept Bottleneck Models
por: Lai, Songning, et al.
Publicado: (2024)
por: Lai, Songning, et al.
Publicado: (2024)
Ejemplares similares
-
Keypoint Detection and Description for Raw Bayer Images
por: Lin, Jiakai, et al.
Publicado: (2025) -
Automated Genomic Interpretation via Concept Bottleneck Models for Medical Robotics
por: Li, Zijun, et al.
Publicado: (2025) -
Adaptive Event Stream Slicing for Open-Vocabulary Event-Based Object Detection via Vision-Language Knowledge Distillation
por: Zhang, Jinchang, et al.
Publicado: (2025) -
Vision-Language Embodiment for Monocular Depth Estimation
por: Zhang, Jinchang, et al.
Publicado: (2025) -
Underground Mapping and Localization Based on Ground-Penetrating Radar
por: Zhang, Jinchang, et al.
Publicado: (2024)