Saved in:
| Main Authors: | Zhang, Zhimin, Gao, Xiang, Hu, Wei |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2401.03765 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
DICS: Find Domain-Invariant and Class-Specific Features for Out-of-Distribution Generalization
by: Miao, Qiaowei, et al.
Published: (2024)
by: Miao, Qiaowei, et al.
Published: (2024)
Class Is Invariant to Context and Vice Versa: On Learning Invariance for Out-Of-Distribution Generalization
by: Qi, Jiaxin, et al.
Published: (2022)
by: Qi, Jiaxin, et al.
Published: (2022)
Rotation-Invariant Transformer for Point Cloud Matching
by: Yu, Hao, et al.
Published: (2023)
by: Yu, Hao, et al.
Published: (2023)
RangeLDM: Fast Realistic LiDAR Point Cloud Generation
by: Hu, Qianjiang, et al.
Published: (2024)
by: Hu, Qianjiang, et al.
Published: (2024)
Invariant Feature Learning for Generalized Long-Tailed Classification
by: Tang, Kaihua, et al.
Published: (2022)
by: Tang, Kaihua, et al.
Published: (2022)
RISurConv: Rotation Invariant Surface Attention-Augmented Convolutions for 3D Point Cloud Classification and Segmentation
by: Zhang, Zhiyuan, et al.
Published: (2024)
by: Zhang, Zhiyuan, et al.
Published: (2024)
HFBRI-MAE: Handcrafted Feature Based Rotation-Invariant Masked Autoencoder for 3D Point Cloud Analysis
by: Yin, Xuanhua, et al.
Published: (2025)
by: Yin, Xuanhua, et al.
Published: (2025)
DiMPLe -- Disentangled Multi-Modal Prompt Learning: Enhancing Out-Of-Distribution Alignment with Invariant and Spurious Feature Separation
by: Rahman, Umaima, et al.
Published: (2025)
by: Rahman, Umaima, et al.
Published: (2025)
RI-MAE: Rotation-Invariant Masked AutoEncoders for Self-Supervised Point Cloud Representation Learning
by: Su, Kunming, et al.
Published: (2024)
by: Su, Kunming, et al.
Published: (2024)
Revisiting Invariant Learning for Out-of-Domain Generalization on Multi-Site Mammogram Datasets
by: Vo, Hung Q., et al.
Published: (2025)
by: Vo, Hung Q., et al.
Published: (2025)
Learning Non-Linear Invariants for Unsupervised Out-of-Distribution Detection
by: Doorenbos, Lars, et al.
Published: (2024)
by: Doorenbos, Lars, et al.
Published: (2024)
Learning Speaker-Invariant Visual Features for Lipreading
by: Li, Yu, et al.
Published: (2025)
by: Li, Yu, et al.
Published: (2025)
Hierarchical Direction Perception via Atomic Dot-Product Operators for Rotation-Invariant Point Clouds Learning
by: Hu, Chenyu, et al.
Published: (2025)
by: Hu, Chenyu, et al.
Published: (2025)
TetraSphere: A Neural Descriptor for O(3)-Invariant Point Cloud Analysis
by: Melnyk, Pavlo, et al.
Published: (2022)
by: Melnyk, Pavlo, et al.
Published: (2022)
Learning Invariant Inter-pixel Correlations for Superpixel Generation
by: Xu, Sen, et al.
Published: (2024)
by: Xu, Sen, et al.
Published: (2024)
Beyond Random Masking: A Dual-Stream Approach for Rotation-Invariant Point Cloud Masked Autoencoders
by: Yin, Xuanhua, et al.
Published: (2025)
by: Yin, Xuanhua, et al.
Published: (2025)
PointInfinity: Resolution-Invariant Point Diffusion Models
by: Huang, Zixuan, et al.
Published: (2024)
by: Huang, Zixuan, et al.
Published: (2024)
Multi-view Structural Convolution Network for Domain-Invariant Point Cloud Recognition of Autonomous Vehicles
by: Kim, Younggun, et al.
Published: (2025)
by: Kim, Younggun, et al.
Published: (2025)
A Generic Self-Supervised Framework of Learning Invariant Discriminative Features
by: Ntelemis, Foivos, et al.
Published: (2022)
by: Ntelemis, Foivos, et al.
Published: (2022)
Random Walk on Point Clouds for Feature Detection
by: Zhang, Yuhe, et al.
Published: (2026)
by: Zhang, Yuhe, et al.
Published: (2026)
Equivariant vs. Invariant Layers: A Comparison of Backbone and Pooling for Point Cloud Classification
by: Kothapalli, Abihith, et al.
Published: (2023)
by: Kothapalli, Abihith, et al.
Published: (2023)
MIFNet: Learning Modality-Invariant Features for Generalizable Multimodal Image Matching
by: Liu, Yepeng, et al.
Published: (2025)
by: Liu, Yepeng, et al.
Published: (2025)
Multi-Source Collaborative Style Augmentation and Domain-Invariant Learning for Federated Domain Generalization
by: Wei, Yikang
Published: (2025)
by: Wei, Yikang
Published: (2025)
RIDE: Boosting 3D Object Detection for LiDAR Point Clouds via Rotation-Invariant Analysis
by: Wang, Zhaoxuan, et al.
Published: (2024)
by: Wang, Zhaoxuan, et al.
Published: (2024)
A Lightweight 3D Anomaly Detection Method with Rotationally Invariant Features
by: Liang, Hanzhe, et al.
Published: (2025)
by: Liang, Hanzhe, et al.
Published: (2025)
RINO: Rotation-Invariant Non-Rigid Correspondences
by: Gao, Maolin, et al.
Published: (2026)
by: Gao, Maolin, et al.
Published: (2026)
Selective Domain-Invariant Feature for Generalizable Deepfake Detection
by: Lai, Yingxin, et al.
Published: (2024)
by: Lai, Yingxin, et al.
Published: (2024)
Boost UAV-based Ojbect Detection via Scale-Invariant Feature Disentanglement and Adversarial Learning
by: Liu, Fan, et al.
Published: (2024)
by: Liu, Fan, et al.
Published: (2024)
MiniMax Entropy Network: Learning Category-Invariant Features for Domain Adaptation
by: Tao, Chaofan, et al.
Published: (2019)
by: Tao, Chaofan, et al.
Published: (2019)
MINIMA: Modality Invariant Image Matching
by: Ren, Jiangwei, et al.
Published: (2024)
by: Ren, Jiangwei, et al.
Published: (2024)
Invariant Shape Representation Learning For Image Classification
by: Hossain, Tonmoy, et al.
Published: (2024)
by: Hossain, Tonmoy, et al.
Published: (2024)
RISeg: Robot Interactive Object Segmentation via Body Frame-Invariant Features
by: Qian, Howard H., et al.
Published: (2024)
by: Qian, Howard H., et al.
Published: (2024)
Distribution Guidance Network for Weakly Supervised Point Cloud Semantic Segmentation
by: Pan, Zhiyi, et al.
Published: (2024)
by: Pan, Zhiyi, et al.
Published: (2024)
Long-Tailed Visual Recognition via Permutation-Invariant Head-to-Tail Feature Fusion
by: Li, Mengke, et al.
Published: (2025)
by: Li, Mengke, et al.
Published: (2025)
Generalized Few-Shot Out-of-Distribution Detection
by: Li, Pinxuan, et al.
Published: (2025)
by: Li, Pinxuan, et al.
Published: (2025)
Learning 2D Invariant Affordance Knowledge for 3D Affordance Grounding
by: Gao, Xianqiang, et al.
Published: (2024)
by: Gao, Xianqiang, et al.
Published: (2024)
Federated Deconfounding and Debiasing Learning for Out-of-Distribution Generalization
by: Qi, Zhuang, et al.
Published: (2025)
by: Qi, Zhuang, et al.
Published: (2025)
Score-Based Point Cloud Denoising
by: Luo, Shitong, et al.
Published: (2021)
by: Luo, Shitong, et al.
Published: (2021)
Cloud Optical Thickness Retrievals Using Angle Invariant Attention Based Deep Learning Models
by: Tushar, Zahid Hassan, et al.
Published: (2025)
by: Tushar, Zahid Hassan, et al.
Published: (2025)
GS-Matching: Reconsidering Feature Matching task in Point Cloud Registration
by: Zhang, Yaojie, et al.
Published: (2024)
by: Zhang, Yaojie, et al.
Published: (2024)
Similar Items
-
DICS: Find Domain-Invariant and Class-Specific Features for Out-of-Distribution Generalization
by: Miao, Qiaowei, et al.
Published: (2024) -
Class Is Invariant to Context and Vice Versa: On Learning Invariance for Out-Of-Distribution Generalization
by: Qi, Jiaxin, et al.
Published: (2022) -
Rotation-Invariant Transformer for Point Cloud Matching
by: Yu, Hao, et al.
Published: (2023) -
RangeLDM: Fast Realistic LiDAR Point Cloud Generation
by: Hu, Qianjiang, et al.
Published: (2024) -
Invariant Feature Learning for Generalized Long-Tailed Classification
by: Tang, Kaihua, et al.
Published: (2022)