Skeleton-OOD: An End-to-End Skeleton-Based Model for Robust Out-of-Distribution Human Action Detection
Fuente:
arXiv
Saved in:
| Main Authors: | Xu, Jing, Zhu, Anqi, Lin, Jingyu, Ke, Qiuhong, Chen, Cunjian |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Part-aware Unified Representation of Language and Skeleton for Zero-shot Action Recognition
by: Zhu, Anqi, et al.
Published: (2024)
by: Zhu, Anqi, et al.
Published: (2024)
Boosting Skeleton-based Zero-Shot Action Recognition with Training-Free Test-Time Adaptation
by: Zhu, Jingmin, et al.
Published: (2025)
by: Zhu, Jingmin, et al.
Published: (2025)
DynaPURLS: Dynamic Refinement of Part-Aware Representations for Skeleton-Based Zero-Shot Action Recognition
by: Zhu, Jingmin, et al.
Published: (2025)
by: Zhu, Jingmin, et al.
Published: (2025)
TSkel-Mamba: Temporal Dynamic Modeling via State Space Model for Human Skeleton-based Action Recognition
by: Liu, Yanan, et al.
Published: (2025)
by: Liu, Yanan, et al.
Published: (2025)
Foundation Model for Skeleton-Based Human Action Understanding
by: Wang, Hongsong, et al.
Published: (2025)
by: Wang, Hongsong, et al.
Published: (2025)
EA-RAS: Towards Efficient and Accurate End-to-End Reconstruction of Anatomical Skeleton
by: Peng, Zhiheng, et al.
Published: (2024)
by: Peng, Zhiheng, et al.
Published: (2024)
SkeletonContext: Skeleton-side Context Prompt Learning for Zero-Shot Skeleton-based Action Recognition
by: Wang, Ning, et al.
Published: (2026)
by: Wang, Ning, et al.
Published: (2026)
MoCapAnything V2: End-to-End Motion Capture for Arbitrary Skeletons
by: Gong, Kehong, et al.
Published: (2026)
by: Gong, Kehong, et al.
Published: (2026)
Point-Supervised Skeleton-Based Human Action Segmentation
by: Wang, Hongsong, et al.
Published: (2026)
by: Wang, Hongsong, et al.
Published: (2026)
Skeleton Motion Words for Unsupervised Skeleton-Based Temporal Action Segmentation
by: Gökay, Uzay, et al.
Published: (2025)
by: Gökay, Uzay, et al.
Published: (2025)
Adversarial Robustness in RGB-Skeleton Action Recognition: Leveraging Attention Modality Reweighter
by: Liu, Chao, et al.
Published: (2024)
by: Liu, Chao, et al.
Published: (2024)
E2E-GNet: An End-to-End Skeleton-based Geometric Deep Neural Network for Human Motion Recognition
by: Olaoluwa, Mubarak, et al.
Published: (2026)
by: Olaoluwa, Mubarak, et al.
Published: (2026)
Active Generation Network of Human Skeleton for Action Recognition
by: Liu, Long, et al.
Published: (2024)
by: Liu, Long, et al.
Published: (2024)
PoseBridge: Bridging the Skeletonization Gap for Zero-Shot Skeleton-Based Action Recognition
by: Lee, Sanghyeon, et al.
Published: (2026)
by: Lee, Sanghyeon, et al.
Published: (2026)
Skeleton-Based Human Action Recognition with Noisy Labels
by: Xu, Yi, et al.
Published: (2024)
by: Xu, Yi, et al.
Published: (2024)
Synchronized and Fine-Grained Head for Skeleton-Based Ambiguous Action Recognition
by: Huang, Hao, et al.
Published: (2024)
by: Huang, Hao, et al.
Published: (2024)
SkeletonAgent: An Agentic Interaction Framework for Skeleton-based Action Recognition
by: Liu, Hongda, et al.
Published: (2025)
by: Liu, Hongda, et al.
Published: (2025)
Expressive Keypoints for Skeleton-based Action Recognition via Skeleton Transformation
by: Yang, Yijie, et al.
Published: (2024)
by: Yang, Yijie, et al.
Published: (2024)
Towards Universal Skeleton-Based Action Recognition
by: Kuang, Jidong, et al.
Published: (2026)
by: Kuang, Jidong, et al.
Published: (2026)
Heterogeneous Skeleton-Based Action Representation Learning
by: Wang, Hongsong, et al.
Published: (2025)
by: Wang, Hongsong, et al.
Published: (2025)
Modeling Human Skeleton Joint Dynamics for Fall Detection
by: Zahan, Sania, et al.
Published: (2025)
by: Zahan, Sania, et al.
Published: (2025)
An Improved Graph Pooling Network for Skeleton-Based Action Recognition
by: Wu, Cong, et al.
Published: (2024)
by: Wu, Cong, et al.
Published: (2024)
3D Skeleton-Based Action Recognition: A Review
by: Liu, Mengyuan, et al.
Published: (2025)
by: Liu, Mengyuan, et al.
Published: (2025)
Generative Data Augmentation for Skeleton Action Recognition
by: Dong, Xu, et al.
Published: (2026)
by: Dong, Xu, et al.
Published: (2026)
Language-Assisted Human Part Motion Learning for Skeleton-Based Temporal Action Segmentation
by: Chen, Bowen, et al.
Published: (2024)
by: Chen, Bowen, et al.
Published: (2024)
SBF: An Effective Representation to Augment Skeleton for Video-based Human Action Recognition
by: Peng, Zhuoxuan, et al.
Published: (2026)
by: Peng, Zhuoxuan, et al.
Published: (2026)
DoGCLR: Dominance-Game Contrastive Learning Network for Skeleton-Based Action Recognition
by: Li, Yanshan, et al.
Published: (2025)
by: Li, Yanshan, et al.
Published: (2025)
Synthesizing Near-Boundary OOD Samples for Out-of-Distribution Detection
by: Li, Jinglun, et al.
Published: (2025)
by: Li, Jinglun, et al.
Published: (2025)
CURE-OOD: Benchmarking Out-of-Distribution Detection for Survival Prediction
by: Zhao, Wenjie, et al.
Published: (2026)
by: Zhao, Wenjie, et al.
Published: (2026)
Frequency-Enhanced Diffusion Models: Curriculum-Guided Semantic Alignment for Zero-Shot Skeleton Action Recognition
by: Zhou, Yuxi, et al.
Published: (2026)
by: Zhou, Yuxi, et al.
Published: (2026)
M3GCLR: Multi-View Mini-Max Infinite Skeleton-Data Game Contrastive Learning For Skeleton-Based Action Recognition
by: Li, Yanshan, et al.
Published: (2026)
by: Li, Yanshan, et al.
Published: (2026)
Wavelet-Decoupling Contrastive Enhancement Network for Fine-Grained Skeleton-Based Action Recognition
by: Chang, Haochen, et al.
Published: (2024)
by: Chang, Haochen, et al.
Published: (2024)
Self-Supervised Skeleton-Based Action Representation Learning: A Benchmark and Beyond
by: Zhang, Jiahang, et al.
Published: (2024)
by: Zhang, Jiahang, et al.
Published: (2024)
MS-CLR: Multi-Skeleton Contrastive Learning for Human Action Recognition
by: Kiray, Mert, et al.
Published: (2025)
by: Kiray, Mert, et al.
Published: (2025)
Skeleton-in-Context: Unified Skeleton Sequence Modeling with In-Context Learning
by: Wang, Xinshun, et al.
Published: (2023)
by: Wang, Xinshun, et al.
Published: (2023)
Idempotent Unsupervised Representation Learning for Skeleton-Based Action Recognition
by: Lin, Lilang, et al.
Published: (2024)
by: Lin, Lilang, et al.
Published: (2024)
Marrying Text-to-Motion Generation with Skeleton-Based Action Recognition
by: Kuang, Jidong, et al.
Published: (2026)
by: Kuang, Jidong, et al.
Published: (2026)
FEVER-OOD: Free Energy Vulnerability Elimination for Robust Out-of-Distribution Detection
by: Isaac-Medina, Brian K. S., et al.
Published: (2024)
by: Isaac-Medina, Brian K. S., et al.
Published: (2024)
End-to-End Temporal Action Detection with 1B Parameters Across 1000 Frames
by: Liu, Shuming, et al.
Published: (2023)
by: Liu, Shuming, et al.
Published: (2023)
PixOOD: Pixel-Level Out-of-Distribution Detection
by: Vojíř, Tomáš, et al.
Published: (2024)
by: Vojíř, Tomáš, et al.
Published: (2024)
Similar Items
-
Part-aware Unified Representation of Language and Skeleton for Zero-shot Action Recognition
by: Zhu, Anqi, et al.
Published: (2024) -
Boosting Skeleton-based Zero-Shot Action Recognition with Training-Free Test-Time Adaptation
by: Zhu, Jingmin, et al.
Published: (2025) -
DynaPURLS: Dynamic Refinement of Part-Aware Representations for Skeleton-Based Zero-Shot Action Recognition
by: Zhu, Jingmin, et al.
Published: (2025) -
TSkel-Mamba: Temporal Dynamic Modeling via State Space Model for Human Skeleton-based Action Recognition
by: Liu, Yanan, et al.
Published: (2025) -
Foundation Model for Skeleton-Based Human Action Understanding
by: Wang, Hongsong, et al.
Published: (2025)