Closed Kracozebr closed 1 year ago
Hi, first of all thanks for sharing your code.
I'm trying to reproduce Linear evaluation on ModelNet40
I downloaded the dataset and run the evaluation:
python train_svm.py --encoder=dgcnn_cls --restore_path=./pretrained_models/modelnet40_svm.pt
And get the next result:
Transfer linear SVM accuracy: 92.06%
How to achieve the declared 94.2?
Hi,
The result of linear evaluation is 92.06%, which you have already achieved. And 94.2 is the fine-tuned classification result. This is different from linear evaluation.
Ok, thanks for clarification.
Hi, first of all thanks for sharing your code.
I'm trying to reproduce Linear evaluation on ModelNet40
I downloaded the dataset and run the evaluation:
And get the next result:
How to achieve the declared 94.2?