DICS: Find Domain-Invariant and Class-Specific Features for Out-of-Distribution Generalization
Fuente:
arXiv
Guardado en:
| Autores principales: | Miao, Qiaowei, Luo, Yawei, Yang, Yi |
|---|---|
| Formato: | Preprint |
| Publicado: |
2024
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
PLA4D: Pixel-Level Alignments for Text-to-4D Gaussian Splatting
por: Miao, Qiaowei, et al.
Publicado: (2024)
por: Miao, Qiaowei, et al.
Publicado: (2024)
Advances in 4D Generation: A Survey
por: Miao, Qiaowei, et al.
Publicado: (2025)
por: Miao, Qiaowei, et al.
Publicado: (2025)
InvariantOODG: Learning Invariant Features of Point Clouds for Out-of-Distribution Generalization
por: Zhang, Zhimin, et al.
Publicado: (2024)
por: Zhang, Zhimin, et al.
Publicado: (2024)
Class Is Invariant to Context and Vice Versa: On Learning Invariance for Out-Of-Distribution Generalization
por: Qi, Jiaxin, et al.
Publicado: (2022)
por: Qi, Jiaxin, et al.
Publicado: (2022)
ParticleGS: Learning Neural Gaussian Particle Dynamics from Videos for Prior-free Physical Motion Extrapolation
por: Quan, Jinsheng, et al.
Publicado: (2025)
por: Quan, Jinsheng, et al.
Publicado: (2025)
Selective Domain-Invariant Feature for Generalizable Deepfake Detection
por: Lai, Yingxin, et al.
Publicado: (2024)
por: Lai, Yingxin, et al.
Publicado: (2024)
Revisiting Invariant Learning for Out-of-Domain Generalization on Multi-Site Mammogram Datasets
por: Vo, Hung Q., et al.
Publicado: (2025)
por: Vo, Hung Q., et al.
Publicado: (2025)
Unsupervised Out-of-Distribution Detection in Medical Imaging Using Multi-Exit Class Activation Maps and Feature Masking
por: Chen, Yu-Jen, et al.
Publicado: (2025)
por: Chen, Yu-Jen, et al.
Publicado: (2025)
OpenCIL: Benchmarking Out-of-Distribution Detection in Class-Incremental Learning
por: Miao, Wenjun, et al.
Publicado: (2024)
por: Miao, Wenjun, et al.
Publicado: (2024)
Class-Invariant Test-Time Augmentation for Domain Generalization
por: Lin, Zhicheng, et al.
Publicado: (2025)
por: Lin, Zhicheng, et al.
Publicado: (2025)
Your Data Is Not Perfect: Towards Cross-Domain Out-of-Distribution Detection in Class-Imbalanced Data
por: Fang, Xiang, et al.
Publicado: (2024)
por: Fang, Xiang, et al.
Publicado: (2024)
CADRef: Robust Out-of-Distribution Detection via Class-Aware Decoupled Relative Feature Leveraging
por: Ling, Zhiwei, et al.
Publicado: (2025)
por: Ling, Zhiwei, et al.
Publicado: (2025)
Out-of-Distribution Detection Using Peer-Class Generated by Large Language Model
por: Huang, K, et al.
Publicado: (2024)
por: Huang, K, et al.
Publicado: (2024)
DiMPLe -- Disentangled Multi-Modal Prompt Learning: Enhancing Out-Of-Distribution Alignment with Invariant and Spurious Feature Separation
por: Rahman, Umaima, et al.
Publicado: (2025)
por: Rahman, Umaima, et al.
Publicado: (2025)
Local-Global Context Aware Transformer for Language-Guided Video Segmentation
por: Liang, Chen, et al.
Publicado: (2022)
por: Liang, Chen, et al.
Publicado: (2022)
MaGS: Reconstructing and Simulating Dynamic 3D Objects with Mesh-adsorbed Gaussian Splatting
por: Ma, Shaojie, et al.
Publicado: (2024)
por: Ma, Shaojie, et al.
Publicado: (2024)
Domain penalisation for improved Out-of-Distribution Generalisation
por: Jena, Shuvam, et al.
Publicado: (2024)
por: Jena, Shuvam, et al.
Publicado: (2024)
CoDoL: Conditional Domain Prompt Learning for Out-of-Distribution Generalization
por: Zhang, Min, et al.
Publicado: (2025)
por: Zhang, Min, et al.
Publicado: (2025)
Epipolar-Free 3D Gaussian Splatting for Generalizable Novel View Synthesis
por: Min, Zhiyuan, et al.
Publicado: (2024)
por: Min, Zhiyuan, et al.
Publicado: (2024)
ClawCraneNet: Leveraging Object-level Relation for Text-based Video Segmentation
por: Liang, Chen, et al.
Publicado: (2021)
por: Liang, Chen, et al.
Publicado: (2021)
Distribution-Conditional Generation: From Class Distribution to Creative Generation
por: Feng, Fu, et al.
Publicado: (2025)
por: Feng, Fu, et al.
Publicado: (2025)
Local Background Features Matter in Out-of-Distribution Detection
por: Ye, Jinlun, et al.
Publicado: (2025)
por: Ye, Jinlun, et al.
Publicado: (2025)
PhyMAGIC: Physical Motion-Aware Generative Inference with Confidence-guided LLM
por: Meng, Siwei, et al.
Publicado: (2025)
por: Meng, Siwei, et al.
Publicado: (2025)
BOOD: Boundary-based Out-Of-Distribution Data Generation
por: Liao, Qilin, et al.
Publicado: (2025)
por: Liao, Qilin, et al.
Publicado: (2025)
Long-Tailed Out-of-Distribution Detection via Normalized Outlier Distribution Adaptation
por: Miao, Wenjun, et al.
Publicado: (2024)
por: Miao, Wenjun, et al.
Publicado: (2024)
Simulating Distribution Dynamics: Liquid Temporal Feature Evolution for Single-Domain Generalized Object Detection
por: Zhang, Zihao, et al.
Publicado: (2025)
por: Zhang, Zihao, et al.
Publicado: (2025)
Entangled View-Epipolar Information Aggregation for Generalizable Neural Radiance Fields
por: Min, Zhiyuan, et al.
Publicado: (2023)
por: Min, Zhiyuan, et al.
Publicado: (2023)
Semantic Data Augmentation Enhanced Invariant Risk Minimization for Medical Image Domain Generalization
por: Zhu, Yaoyao, et al.
Publicado: (2025)
por: Zhu, Yaoyao, et al.
Publicado: (2025)
MiniMax Entropy Network: Learning Category-Invariant Features for Domain Adaptation
por: Tao, Chaofan, et al.
Publicado: (2019)
por: Tao, Chaofan, et al.
Publicado: (2019)
Improving Out-of-Distribution Detection with Disentangled Foreground and Background Features
por: Ding, Choubo, et al.
Publicado: (2023)
por: Ding, Choubo, et al.
Publicado: (2023)
DCAC: Dynamic Class-Aware Cache Creates Stronger Out-of-Distribution Detectors
por: Wu, Yanqi, et al.
Publicado: (2026)
por: Wu, Yanqi, et al.
Publicado: (2026)
Domain Generalization through Attenuation of Domain-Specific Information
por: Saito, Reiji, et al.
Publicado: (2025)
por: Saito, Reiji, et al.
Publicado: (2025)
Learning Transferable Negative Prompts for Out-of-Distribution Detection
por: Li, Tianqi, et al.
Publicado: (2024)
por: Li, Tianqi, et al.
Publicado: (2024)
Federated Joint Learning for Domain and Class Generalization
por: Xu, Haoran, et al.
Publicado: (2026)
por: Xu, Haoran, et al.
Publicado: (2026)
Phase Matching for Out-of-Distribution Generalization
por: Hu, Chengming, et al.
Publicado: (2023)
por: Hu, Chengming, et al.
Publicado: (2023)
Weight Averaging for Out-of-Distribution Generalization and Few-Shot Domain Adaptation
por: Xu, Shijian
Publicado: (2025)
por: Xu, Shijian
Publicado: (2025)
Invariant Feature Learning for Generalized Long-Tailed Classification
por: Tang, Kaihua, et al.
Publicado: (2022)
por: Tang, Kaihua, et al.
Publicado: (2022)
Knowledge-guided Causal Intervention for Weakly-supervised Object Localization
por: Shao, Feifei, et al.
Publicado: (2023)
por: Shao, Feifei, et al.
Publicado: (2023)
Feature Density Estimation for Out-of-Distribution Detection via Normalizing Flows
por: Cook, Evan D., et al.
Publicado: (2024)
por: Cook, Evan D., et al.
Publicado: (2024)
LCA-on-the-Line: Benchmarking Out-of-Distribution Generalization with Class Taxonomies
por: Shi, Jia, et al.
Publicado: (2024)
por: Shi, Jia, et al.
Publicado: (2024)
Ejemplares similares
-
PLA4D: Pixel-Level Alignments for Text-to-4D Gaussian Splatting
por: Miao, Qiaowei, et al.
Publicado: (2024) -
Advances in 4D Generation: A Survey
por: Miao, Qiaowei, et al.
Publicado: (2025) -
InvariantOODG: Learning Invariant Features of Point Clouds for Out-of-Distribution Generalization
por: Zhang, Zhimin, et al.
Publicado: (2024) -
Class Is Invariant to Context and Vice Versa: On Learning Invariance for Out-Of-Distribution Generalization
por: Qi, Jiaxin, et al.
Publicado: (2022) -
ParticleGS: Learning Neural Gaussian Particle Dynamics from Videos for Prior-free Physical Motion Extrapolation
por: Quan, Jinsheng, et al.
Publicado: (2025)