Comments (1)
yl-1993
commented on May 28, 2024
Hi @longbowzhang , really sorry for the outdated reply!
From left to right, the three red dots are GCN-V, GCN-V+GCN-E(with small ρ), GCN-V + GCN-E(ρ=10%), where ρ is the portion of vertices using GCN-E as defined in Sec.3.3 .
To be more specific, the time(x-axis) for three red dots is 270s, 413s and 687s, and the pairwise f-score is 87.14, 87.23 and 87.55 respectively. The first and the last value are reported in last two rows of Table.1. For the middle value, we give a more detailed ablation study of ρ in Figure.5.
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Related Issues (20)
- output error HOT 1
- Dataset issue HOT 2
- Issue while training LGCN HOT 1
- 您好，想请教一下训练GCN-D时报错run out of input HOT 1
- 没有修改任何参数跑作者提供的pretrained model for ms1m Fscore 只有0.32
- Clustering 512D features using pretrained model HOT 3
- building symmetric adjacency matrix in utils HOT 1
- why using output of relu for rebuilding knn graph HOT 1
- is not a checkpoint filemodels/pretrained_gcn_e_ms1m.pth HOT 3
- about extracting features HOT 3
- About how to make a .meta file HOT 1
- Can we manually set the number of clusters during the test HOT 1
- 大佬，请教下train_cluster_seg_iop_vox.sh 的test阶段报错的问题 HOT 2
- 两个face recognition模型，推荐使用哪个，hfsoftmax还要用到python 2 ？ HOT 1
- About pretrained_model to get the the extracted feature HOT 2
- GCN-D MMdistributedDataparallel train HOT 2
- 关于性能 HOT 1
- How to apply lgcn for clustering on custom embeddings of collected face images? HOT 1
- On custom dataset preparation
- On the numpy version which may cause exception HOT 3
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