Experimental results comparing the classification accuracy (Acc., %) and standard deviation (Std.) of the proposed method with the original dynamic routing algorithm. CNN refers to a convolutional neural network with a parameter count comparable to the original dynamic routing capsule network. CapsNet-DR refers to the capsule network using the standard dynamic routing algorithm, CapsNet-CRI denotes the dynamic routing algorithm with inverse initialization of the coupling coefficients, DC-CapsNet-DR applies the group strategy with standard dynamic routing, and DC-CapsNet (Ours) is our full method.
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https://figshare.com/articles/dataset/Experimental_results_comparing_the_classification_accuracy_Acc_and_standard_deviation_Std_of_the_proposed_method_with_the_original_dynamic_routing_algorithm_CNN_refers_to_a_convolutional_neural_network_with_a_parameter_count_comparable_to_t/29694354
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Experimental results comparing the classification accuracy (Acc., %) and standard deviation (Std.) of the proposed method with the original dynamic routing algorithm. CNN refers to a convolutional neural network with a parameter count comparable to the original dynamic routing capsule network. CapsNet-DR refers to the capsule network using the standard dynamic routing algorithm, CapsNet-CRI denotes the dynamic routing algorithm with inverse initialization of the coupling coefficients, DC-CapsNet-DR applies the group strategy with standard dynamic routing, and DC-CapsNet (Ours) is our full method.
创建时间：
2025-07-30
