@进行中{哈萨克斯坦2021MTCN， author={Kazakos、Evangelos和Huh、Jaesung和Nagrani、Arsha和Zisserman、Andrew和Damen、Dima}， booktitle={英国机器视觉会议（BMVC）}， title={借助我的时间语境：多式自我中心主义行动识别}， 年份={2021}} 
python train_av.py--数据集epic-100--train_hdf5_path/path/to/epic-kitchens-100/features/audiovisual_slowfast_features_train.hdf5 --val_hdf5_path/path/to/epic-kitchens-100/features/audiovisual_slowfast_features_val.hdf5 --train_pickle/path/to/epic-kitchens-100-annotations/epic_100_train.pkl --val_pickle/path/to/epic-kitchens-100-annotations/epic_100_validation.pkl --批大小32--lr 0.005--优化器sgd--epochs 100--lr_steps 50 75--output_dir/path/to/output_dir --num_layers 4-j 8--分类_模式全部--seq_len 9 python train_lm.py--数据集epic-100--train_pickle/path/to/epic-kitchens-100-annotations/epic_100_train.pkl --val_pickle/path/to/epic-kitchens-100-annotations/epic_100_validation.pkl --verb_csv/path/to/epic-kitchens-100-annotations/epic_100_verb_classes.csv --noun_csv/path/to/epic-kitchens-100-annotations/epic_100_noun_classes.csv --批大小64--lr 0.001--优化器adam--epochs 100--lr_steps 50 75--output_dir/path/to/output_dir --num_layers 4-j 8--num_gram 9--丢失0.1 python train_av.py--数据集egtea--train_hdf5_path/path/to/egtea/features/visual_slowfast_features_train_split1.hdf5 --val_hdf5_path/路径/to/egtea/features/visual_slowfast_features_test_split1.hdf5 --train_pickle/path/to/EGTEA_annotations/train_split1.pkl--val_pickle/path/to/EGTEA_annotations/test_split1.pkl --批大小32--lr 0.001--优化器sgd--epochs 50--lr_steps 25 38--output_dir/path/to/output_dir --num_layers 4-j 8--分类模式全部--seq_len 9 python train_lm.py—数据集egtea—train_pickle/path/to/egtea_annotations/train_split1.pkl --val_pickle/path/to/EGTEA_annotations/test_split1.pkl --action_csv/path/to/EGTEA_annotations/actions_EGTEA.csv --批大小64--lr 0.001--优化器adam--epochs 50--lr_steps 25 38--output_dir/path/to/output_dir --num_layers 4-j 8--num_gram 9--丢失0.1 python test_av.py--数据集epic-100--test_hdf5_path/path/to/epic-kitchens-100/features/audiovisual_slowfast_features_val.hdf5 --test_pickle/path/to/epic-kitchens-100-annotations/epic_100_validation.pkl --检查点/路径/到/av_model/av_checkpoint.pyth--seq_len 9--num_layers 4--output_dir/path/to/output_dir --拆分验证 python test_av_lm.py—数据集epic-100 --test_pickle/path/to/epi-kitchens-100-注释/epic_100_验证.pkl --test_scores/path/to/adio-visual-results.pkl --检查点/路径/到/lm_model/lm_checkpoint.pyth --num_gram 9—分割验证 python test_av.py—数据集egtea—test_hdf5_path/path/to/egtea/features/visual_slowfast_features_test_split1.hdf5 --test_pickle/path/to/EGTEA_annotations/test_split1.pkl --检查点/path/to/v_model/model_best.pyth--seq_len 9--num_layers 4--output_dir/path/to/output_dir --拆分测试_拆分1 python test_av_lm.py—数据集egtea --test_pickle/path/to/EGTEA_annotations/test_split1.pkl --test_scores/path/to/visual-results.pkl --检查点/路径/到/lm_model/model_best.pyth --num_gram 9—拆分测试_拆分1