Download data

• CREMAD: https://crisisnlp.qcri.org/data/crisismmd/CrisisMMD_v2.0.tar.gz
• AVE: https://sites.google.com/view/audiovisualresearch
• UCF: wget http://ftp.tugraz.at/pub/feichtenhofer/tsfusion/data/ucf101_jpegs_256.zip.001 wget http://ftp.tugraz.at/pub/feichtenhofer/tsfusion/data/ucf101_jpegs_256.zip.002 wget http://ftp.tugraz.at/pub/feichtenhofer/tsfusion/data/ucf101_jpegs_256.zip.003 cat ucf101_jpegs_256.zip* > ucf101_jpegs_256.zip unzip ucf101_jpegs_256.zip wget http://ftp.tugraz.at/pub/feichtenhofer/tsfusion/data/ucf101_tvl1_flow.zip.001 wget http://ftp.tugraz.at/pub/feichtenhofer/tsfusion/data/ucf101_tvl1_flow.zip.002 wget http://ftp.tugraz.at/pub/feichtenhofer/tsfusion/data/ucf101_tvl1_flow.zip.003 cat ucf101_tvl1_flow.zip* > ucf101_tvl1_flow.zip unzip ucf101_tvl1_flow.zip
• ModelNet: http://supermoe.cs.umass.edu/shape_recog/shaded_images.tar.gz

Preprocess data

• video_preprocessing.py in ./data/CREMAD for CREMAD.
• video_preprocessing.py in ./data/AVE for AVE.

train

• CREMAD: python main_CFT.py --dataset CREMAD --num_frame 3 --temperature 50 --train python main_CFT_stage2.py --dataset CREMAD --num_frame 3 --load_path path_model1 --load_path_other path_model2 --temperature 1 --train

• AVE: python main_CFT.py --dataset AVE --num_frame 4 --temperature 10 --train python main_CFT_stage2.py --dataset AVE --num_frame 4 --load_path path_model1 --load_path_other path_model2 --temperature 3 --train

• UCF: python main_CFT.py --dataset UCF --num_frame 1 --temperature 10 --train python main_CFT_stage2.py --dataset UCF --num_frame 1 --load_path path_model1 --load_path_other path_model2 --temperature 1 --train

• ModelNet: python main_CFT.py --dataset ModelNet --num_frame 1 --temperature 50 --train python main_CFT_stage2.py --dataset ModelNet --num_frame 1 --load_path path_model1 --load_path_other path_model2 --temperature 3 --train