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YapengTian authored Aug 24, 2018
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Expand Up @@ -33,7 +33,7 @@ python supervised_main.py --model_name AV_att --train


### Weakly-supervised audio-visual event localization
We add some videos without audio-visual events into training data. Therefore, the labels of these videos are background. Processed visual features can be found in [visual_feature_noisy.h5](https://drive.google.com/file/d/1I3OtOHJ8G1-v5G2dHIGCfevHQPn-QyLh/view?usp=sharing).
We add some videos without audio-visual events into training data. Therefore, the labels of these videos are background. Processed visual features can be found in [visual_feature_noisy.h5](https://drive.google.com/file/d/1I3OtOHJ8G1-v5G2dHIGCfevHQPn-QyLh/view?usp=sharing). Put the feature into data folder.

Testing:

Expand All @@ -44,6 +44,7 @@ Training:
python weak_supervised_main.py --train

### Cross-modality localization
For this task, we developed a cross-modal matching network. Here, we used visual feature vectors via global average pooling, and you can find [here](https://drive.google.com/file/d/1l-c8Kpr5SZ37h-NpL7o9u8YXBNVlX_Si/view?usp=sharing). Please put the feature into data folder.


### Citation
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