善辩 发表于 2025-3-30 10:55:43
http://reply.papertrans.cn/67/6628/662740/662740_51.png极小量 发表于 2025-3-30 12:45:41
Daan van den Wollenbergrformance of FPT over iterative and learning-based point set registration methods. Second, we demonstrate superior performance in rigid and non-rigid registration and robustness to missing data. Last, we highlight the interesting generalizability of the ModelNet-trained FPT by registering reconstruc烦人 发表于 2025-3-30 20:05:45
Han Bouwmeesterutperforms existing published work for automatic MI classification (+1.8% F1-score) and shows slightly lower results compared to the best performing semi-automatic method (F1-scores of 82.90 vs. 85.71). Our work has been developed using multiple publicly available datasets and was evaluated on an MI