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Workspace For Muse2020 challenge

run this project

requirementes

  • python==3.7

  • pytorch>=1.0.0

using scripts to run experiments

  • run sh scripts/train_fcfusion arousal/valence 1 and modify --feature_set args

result

basic result on validation set

Features arousal valence
Uni-modal lld 0.3841 0.03
wav2vec 0.3092 0.1737
denseface 0.2954 0.0524
vggface 0.2996 0.0852
bert_base 0.1643 0.3131
multi-modal lld-bert-glove 0.3378 0.3447
wav2vec-bert_base-glove 0.3440 0.3556
lld-wav2vec-denseface-au-bert 0.4670 0.3571
lld-wav2vec-vgg16-au-bert 0.4514 0.3153

Note that is table is not complete yet.

submission result

name arousal valence
baseline 0.2834 0.2431
submit1 0.3082 40.814
submit2 0.3753 0.4194
submit3 0.4346 0.4513

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  • Python 91.8%
  • Shell 8.2%