Anatomical Domain Shifts: Test-time Heterogeneous Adaptation for 3D Human Pose Prediction
Qiongjie Cui, Pan Zhou, Jingjing Chen, Na Zhao
摘要
Figure 1. Proof of Concept: Anatomical Domain Shift. t-SNE embedding of human segments based on anatomical separation, i.e., left/right legs, left/right arms, and torso, and full body under the challenging domain shift setup for TTA-based HPP [11]. This plot shows the feature topology of the source domain-H3.6M [24] (upper), and the target domain-GRAB [48] (bottom). The diagram exhibits that while full-body embedding differ between source and target domains, such matter is not present on all segments, and as a contrast, the distribution of certain segments (i.e., right leg and torso) is very close. This provides the proof of concept of our central hypothesis: for human motion, domain shift manifests primarily at human anatomical segments rather than the full-body.
问问这篇 Paper
智能体会读完全文。
Lune 把这篇 Paper 索引到了每一个公式,引用它的顶会 Paper 也一样。你提问,回答直接引用原文。
它引用的顶会 Paper35
- Tent: Fully Test-Time Adaptation by Entropy MinimizationDequan Wang, Evan Shelhamer, Shaoteng Liu, Bruno A. Olshausen 等ICLR 2021 · 被引用 1,731 次
- MEMO: Test Time Robustness via Adaptation and AugmentationMarvin Zhang, Sergey Levine, Chelsea FinnNeurIPS 2022 · 被引用 595 次
- Learning Trajectory Dependencies for Human Motion PredictionWei Mao, Miaomiao Liu, Mathieu Salzmann, Hongdong LiICCV 2019 · 被引用 534 次
- TTT++: When Does Self-Supervised Test-Time Training Fail or Thrive?Yuejiang Liu, Parth Kothari, Bastien van Delft, Baptiste Bellot-Gurlet 等NeurIPS 2021 · 被引用 469 次
- Continual Test-Time Domain AdaptationQin Wang, Olga Fink, Luc Van Gool, Dengxin DaiCVPR 2022 · 被引用 383 次
相关 Paper
- Learning Generalizable Part-based Feature Representation for 3D Point CloudsXin Wei, Xiang Gu, Jian SunNeurIPS 2022 · 被引用 24 次
- Cross-View and Cross-Pose Completion for 3D Human UnderstandingMatthieu Armando, Salma Galaaoui, Fabien Baradel, Thomas Lucas 等CVPR 2024
- Semantic Human Parsing via Scalable Semantic Transfer Over Multiple Label DomainsJie Yang, Chaoqun Wang, Zhen Li, Junle Wang 等CVPR 2023
- VIBE: Video Inference for Human Body Pose and Shape EstimationMuhammed Kocabas, Nikos Athanasiou, Michael J. BlackCVPR 2020
- TopoTTA: Topology-Enhanced Test-Time Adaptation for Tubular Structure SegmentationJiale Zhou, Wenhan Wang, Shikun Li, Xiaolei Qu 等ICCV 2025 · 被引用 2 次
