Web27 de nov. de 2024 · The pose of the blue character (quaternion-offsets) and orange character (ortho6D-offsets) are abnormal, whereas the purple (ours) is closer to the reference motion. 8. Conclusion. We have presented a hierarchy-aware motion representation for training neural networks specifically designed for character animation. Web28 de abr. de 2024 · To bridge the gap, in this paper, we propose HPT, a Hierarchy-aware Prompt Tuning method to handle HTC from a multi-label MLM perspective. Specifically, …
Class-Dynamic and Hierarchy-Constrained Network for Entity
Web30 de mai. de 2024 · A hierarchy-aware loss function is proposed to combine pixel-level and patch-level loss, which can capture the pathology hierarchical relationships between pixels in each patch and can accelerate inference and robustly improve segmentation performance. Expand. 13. Save. Alert. Web2024). To enhance the system with hierarchy information, we present a methodology to incorporate such information via a hierarchy-aware loss (Murty et al. 2024) during the re-trieval training. We experiment with the proposed systems on a multilingual dataset. The dataset is constructed by col-lecting mentions from Wikipedia and Wikinews ... city aston
A Hierarchy-Aware Pose Representation for Deep Character Animation
Web18 de dez. de 2024 · In this paper, we propose hierarchy–aware multiclass AdaBoost, allowing for the first time weak classifiers in an ensemble learning setting to be trained … Web28 de abr. de 2024 · To bridge the gap, in this paper, we propose HPT, a Hierarchy-aware Prompt Tuning method to handle HTC from a multi-label MLM perspective. Specifically, we construct a dynamic virtual template and label words that take the form of soft prompts to fuse the label hierarchy knowledge and introduce a zero-bounded multi-label cross … WebHPT: Hierarchy-aware Prompt Tuning for Hierarchical Text Classification Zihan Wang 1yPeiyi Wang Tianyu Liu 2Binghuai Lin Yunbo Cao2 Zhifang Sui 1Houfeng Wang 1 MOE Key Laboratory of Computational Linguistics, Peking University, China 2 Tencent Cloud Xiaowei {wangzh9969, wangpeiyi9979}@gmail.com; {szf, wanghf}@pku.edu.cn … citya st denis 974