Python train_retrieval.py -g paper2020 -e yc2_100m_coot -r valset -load_model provided_models/yc2_100m_coot.pth -reset -validate -save_embeddings Python test_embeddings_retrieval.py provided_embeddings/yc2_100m_coot_val.h5 Useful script flags Python train_retrieval.py -c config/retrieval/paper2020/yc2_100m_coot.yaml -load_model provided_models/yc2_100m_coot.pth -validate Python train_retrieval.py -c config/retrieval/paper2020/yc2_100m_coot.yaml Python test_embeddings_retrieval.py provided_embeddings/yc2_2d3d_coot_val.h5 Python train_retrieval.py -c config/retrieval/paper2020/yc2_2d3d_coot.yaml -load_model provided_models/yc2_2d3d_coot.pth -validate
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Python train_retrieval.py -c config/retrieval/paper2020/yc2_2d3d_coot.yaml # Table 3: Retrieval Results on Youcook2 dataset # 2d3d: model with ResNet/ResNext features Python test_embeddings_retrieval.py provided_embeddings/anet_coot_val.h5 Python train_retrieval.py -c config/retrieval/paper2020/anet_coot.yaml -load_model provided_models/anet_coot.pth -validate Python train_retrieval.py -c config/retrieval/paper2020/anet_coot.yaml # Table 2: Video-paragraph retrieval results on AcitvityNet-captions dataset (val1). Please note there is no backwards compatibility to the original nips submission code.
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COOT: Cooperative Hierarchical Transformer for Video-Text Representation Learning