finale 发表于 2025-3-27 00:32:15
Georg Scherer,Carl Friedrich Gethmann,Wolfgang Krewani,Hermann Josef Heckelei,Sturmius M. Wittschiercomputed. Based on these two different approaches, the resulting maps are used as additional input in a standard CNN in a context of semantic segmentation..We propose to compare different attributes and nodes selection strategies and to experiment their usage on a practical problem: the segmentationPerigee 发表于 2025-3-27 03:15:08
H. J. Heckelei each node..Our contribution in this work was to conceive a graph neural network (GNN) achieving the highest results comparing to the rest of GNN models dealing with the same problem to our knowledge, the model is small (53,6K parameters) comparing to the recent models using transformers architectur入会 发表于 2025-3-27 07:28:04
Sturmius M. Wittschier each node..Our contribution in this work was to conceive a graph neural network (GNN) achieving the highest results comparing to the rest of GNN models dealing with the same problem to our knowledge, the model is small (53,6K parameters) comparing to the recent models using transformers architectur悬崖 发表于 2025-3-27 12:27:44
http://reply.papertrans.cn/89/8808/880703/880703_34.pngmighty 发表于 2025-3-27 16:30:41
each node..Our contribution in this work was to conceive a graph neural network (GNN) achieving the highest results comparing to the rest of GNN models dealing with the same problem to our knowledge, the model is small (53,6K parameters) comparing to the recent models using transformers architecturGene408 发表于 2025-3-27 19:13:56
http://reply.papertrans.cn/89/8808/880703/880703_36.png说明 发表于 2025-3-28 01:09:25
http://reply.papertrans.cn/89/8808/880703/880703_37.pngGRIEF 发表于 2025-3-28 02:25:35
http://reply.papertrans.cn/89/8808/880703/880703_38.png谷物 发表于 2025-3-28 07:26:00
http://reply.papertrans.cn/89/8808/880703/880703_39.png额外的事 发表于 2025-3-28 12:33:29
Georg Scherer,Carl Friedrich Gethmann,Wolfgang Krewani,Hermann Josef Heckelei,Sturmius M. Wittschier relation between the binary components obtained at successive level-sets. Various attributes related to these binary components can be computed and stored into the tree..Max-trees have been involved in many applications, enabling to perform attribute filtering in an efficient algorithmic way. Since