Image de couverture de livre

InvariantOODG: Learning Invariant Features of Point Clouds for Out-of-Distribution Generalization

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Zhang, Zhimin, Gao, Xiang, Hu, Wei
Format:	Preprint
Publié:	2024
Sujets:	Computer Vision and Pattern Recognition
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

DICS: Find Domain-Invariant and Class-Specific Features for Out-of-Distribution Generalization
par: Miao, Qiaowei, et autres
Publié: (2024)

Class Is Invariant to Context and Vice Versa: On Learning Invariance for Out-Of-Distribution Generalization
par: Qi, Jiaxin, et autres
Publié: (2022)

Rotation-Invariant Transformer for Point Cloud Matching
par: Yu, Hao, et autres
Publié: (2023)

Invariant Feature Learning for Generalized Long-Tailed Classification
par: Tang, Kaihua, et autres
Publié: (2022)

RangeLDM: Fast Realistic LiDAR Point Cloud Generation
par: Hu, Qianjiang, et autres
Publié: (2024)

RISurConv: Rotation Invariant Surface Attention-Augmented Convolutions for 3D Point Cloud Classification and Segmentation
par: Zhang, Zhiyuan, et autres
Publié: (2024)

HFBRI-MAE: Handcrafted Feature Based Rotation-Invariant Masked Autoencoder for 3D Point Cloud Analysis
par: Yin, Xuanhua, et autres
Publié: (2025)

DiMPLe -- Disentangled Multi-Modal Prompt Learning: Enhancing Out-Of-Distribution Alignment with Invariant and Spurious Feature Separation
par: Rahman, Umaima, et autres
Publié: (2025)

RI-MAE: Rotation-Invariant Masked AutoEncoders for Self-Supervised Point Cloud Representation Learning
par: Su, Kunming, et autres
Publié: (2024)

Revisiting Invariant Learning for Out-of-Domain Generalization on Multi-Site Mammogram Datasets
par: Vo, Hung Q., et autres
Publié: (2025)

Learning Speaker-Invariant Visual Features for Lipreading
par: Li, Yu, et autres
Publié: (2025)

Hierarchical Direction Perception via Atomic Dot-Product Operators for Rotation-Invariant Point Clouds Learning
par: Hu, Chenyu, et autres
Publié: (2025)

Learning Non-Linear Invariants for Unsupervised Out-of-Distribution Detection
par: Doorenbos, Lars, et autres
Publié: (2024)

TetraSphere: A Neural Descriptor for O(3)-Invariant Point Cloud Analysis
par: Melnyk, Pavlo, et autres
Publié: (2022)

Learning Invariant Inter-pixel Correlations for Superpixel Generation
par: Xu, Sen, et autres
Publié: (2024)

Beyond Random Masking: A Dual-Stream Approach for Rotation-Invariant Point Cloud Masked Autoencoders
par: Yin, Xuanhua, et autres
Publié: (2025)

PointInfinity: Resolution-Invariant Point Diffusion Models
par: Huang, Zixuan, et autres
Publié: (2024)

Multi-view Structural Convolution Network for Domain-Invariant Point Cloud Recognition of Autonomous Vehicles
par: Kim, Younggun, et autres
Publié: (2025)

Random Walk on Point Clouds for Feature Detection
par: Zhang, Yuhe, et autres
Publié: (2026)

A Generic Self-Supervised Framework of Learning Invariant Discriminative Features
par: Ntelemis, Foivos, et autres
Publié: (2022)

MIFNet: Learning Modality-Invariant Features for Generalizable Multimodal Image Matching
par: Liu, Yepeng, et autres
Publié: (2025)

Multi-Source Collaborative Style Augmentation and Domain-Invariant Learning for Federated Domain Generalization
par: Wei, Yikang
Publié: (2025)

RIDE: Boosting 3D Object Detection for LiDAR Point Clouds via Rotation-Invariant Analysis
par: Wang, Zhaoxuan, et autres
Publié: (2024)

Equivariant vs. Invariant Layers: A Comparison of Backbone and Pooling for Point Cloud Classification
par: Kothapalli, Abihith, et autres
Publié: (2023)

A Lightweight 3D Anomaly Detection Method with Rotationally Invariant Features
par: Liang, Hanzhe, et autres
Publié: (2025)

Selective Domain-Invariant Feature for Generalizable Deepfake Detection
par: Lai, Yingxin, et autres
Publié: (2024)

Boost UAV-based Ojbect Detection via Scale-Invariant Feature Disentanglement and Adversarial Learning
par: Liu, Fan, et autres
Publié: (2024)

MiniMax Entropy Network: Learning Category-Invariant Features for Domain Adaptation
par: Tao, Chaofan, et autres
Publié: (2019)

RINO: Rotation-Invariant Non-Rigid Correspondences
par: Gao, Maolin, et autres
Publié: (2026)

Invariant Shape Representation Learning For Image Classification
par: Hossain, Tonmoy, et autres
Publié: (2024)

Distribution Guidance Network for Weakly Supervised Point Cloud Semantic Segmentation
par: Pan, Zhiyi, et autres
Publié: (2024)

MINIMA: Modality Invariant Image Matching
par: Ren, Jiangwei, et autres
Publié: (2024)

Long-Tailed Visual Recognition via Permutation-Invariant Head-to-Tail Feature Fusion
par: Li, Mengke, et autres
Publié: (2025)

RISeg: Robot Interactive Object Segmentation via Body Frame-Invariant Features
par: Qian, Howard H., et autres
Publié: (2024)

Constraint-Aware Feature Learning for Parametric Point Cloud
par: Cheng, Xi, et autres
Publié: (2024)

Generalized Few-Shot Out-of-Distribution Detection
par: Li, Pinxuan, et autres
Publié: (2025)

GS-Matching: Reconsidering Feature Matching task in Point Cloud Registration
par: Zhang, Yaojie, et autres
Publié: (2024)

Federated Deconfounding and Debiasing Learning for Out-of-Distribution Generalization
par: Qi, Zhuang, et autres
Publié: (2025)

Learning 2D Invariant Affordance Knowledge for 3D Affordance Grounding
par: Gao, Xianqiang, et autres
Publié: (2024)

Score-Based Point Cloud Denoising
par: Luo, Shitong, et autres
Publié: (2021)