Comments (1)
Thanks for your attention of our work!
Sorry that the original MSP features were lost in a hard-dist accident, we are planning to re-extract the features and evaluate them. The preprocessed features will be released once done.
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Related Issues (20)
- train_miss.py代码好像有点问题,用测试集来选取最佳模型了 HOT 3
- Download IEMOCAP feature
- Download MSP-IMPROV features
- Visual Feature Extractor
- About param "share_weight"
- opt.pretrained_path这个字段,指的是哪一部分啊,运行显示none
- 预训练模型使用的数据集 HOT 21
- 比较的模型
- Pertinent Suggestion
- 'azz', 'zvz', 'zzl', 'avz', 'azl', 'zvl' HOT 1
- 可以提供划分交叉验证数据集的代码吗
- Data preprocess
- 训练时缺失率的问题
- Inquiry about Feature Extraction Setting
- The code HOT 2
- Error occured while running 'mmin.sh'
- 请教关于实验结果 HOT 2
- CODE HOT 1
- MultimodalMissDataset中的问题 HOT 1
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