Comments (2)
The word 'unsupervised' refers to the method of training neural network models and learning useful representations. While the KNN evaluation requires training data, it is quite simple without even adding extra weights like what people usually do with linear evaluation (i.e., fix the network and add one linear layer for classification).
from predict-cluster.
The word 'unsupervised' refers to the method of training neural network models and learning useful representations. While the KNN evaluation requires training data, it is quite simple without even adding extra weights like what people usually do with linear evaluation (i.e., fix the network and add one linear layer for classification).
i get it.thx!
from predict-cluster.
Related Issues (20)
- Clarification re. Fixed Weight (FW) implementation HOT 3
- eval of each person for ntu dataset HOT 3
- About UWA3DII dataset HOT 2
- UWA dataset HOT 2
- pytorch implementation HOT 8
- Pretrained model on NTU-CS HOT 1
- Rotation Matrix R HOT 2
- error with get_feature() when run the train.py HOT 2
- what's the shape of data at every HOT 2
- Train on 2D skeleton dataset HOT 4
- UWA3D handling HOT 1
- Action to predict HOT 5
- UCLA Data HOT 2
- About encoder states trajectories visualization HOT 2
- About problem in running ucla_demo HOT 1
- Your method cannot be called unsupervised!
- Is something wrong in pytorch implementation HOT 4
- Dimension of the hidden layer HOT 4
- About NTU datasets HOT 34
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