Comments (5)
- Jaccard在DBSCAN中比其他两个好很多。欧氏距离对dbscan里eps参数(intra-cluster distance)的敏感性比较高,不好调。
- 这个我没试过,感觉可能会有一点影响,但是不至于直接fail,你可以试一下把k2这一步删掉。
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好的好的,谢谢您啦!
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不好意思,想问下您之前三个欧氏距离的eps取的分别是多少呢。因为还是要跑一下欧氏距离的试验,想参考一下您之前的参数。麻烦您啦!
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我不记得了🤦♀️ 应该是比现在的eps要小,但是我记得我跑的fail了
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我调调看看,谢谢您啦!
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Related Issues (20)
- AttributeError: module 'faiss._swigfaiss' has no attribute 'delete_SwigPyIterator' HOT 1
- Difference between OpenUnReID and the original MMT's implementation HOT 2
- Something about the Sampler HOT 1
- Implement of SpCL HOT 1
- spcl+在UDA上不能复现结果
- About Leaderboard. HOT 1
- strong_basline训练到后期acc突然降到0 loss变为nan HOT 3
- Faiss assertion 'err__ == cudaSuccess' failed in void faiss::gpu::runL2Norm(faiss::gpu::Tensor<T, 2, HOT 1
- 关于num_parts的问题 HOT 3
- Validation freq HOT 3
- Question about train loader
- Question about 'jaccard distance'
- 计算三元组损失时,特征需要归一化吗,代码里没有做归一化
- 这是什么问题?
- K-means for SpCL
- Loss becomes nan when I try to train MMT for 100 epochs
- severe overfitting with a single GPU HOT 2
- Ask for help for solving faiss assertion error HOT 1
- batchsize
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