The 2D-CNN performance on the test set classifying low (n = 158) vs high (n = 145) VVR classes using pre-trained Xception and ResNet152 models with GRU and LSTM on various video sequences ranging from 225 to 25 frames.
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https://figshare.com/articles/dataset/The_2D-CNN_performance_on_the_test_set_classifying_low_n_158_vs_high_n_145_VVR_classes_using_pre-trained_Xception_and_ResNet152_models_with_GRU_and_LSTM_on_various_video_sequences_ranging_from_225_to_25_frames_/28271828
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The 2D-CNN performance on the test set classifying low (n = 158) vs high (n = 145) VVR classes using pre-trained Xception and ResNet152 models with GRU and LSTM on various video sequences ranging from 225 to 25 frames.
创建时间：
2025-01-24
