epicardium 发表于 2025-3-25 04:52:59
https://doi.org/10.1007/978-1-4302-0534-0g after training the model. Both the training and pruning process is completed simultaneously. We benchmark our method on two of the most popular CNN models - ResNet and VGG and record their performance on the CIFAR-10 dataset.BRIBE 发表于 2025-3-25 10:29:14
https://doi.org/10.1007/978-1-4302-0534-0 images). We present a simple yet efficient algorithm using the concepts of classical image processing techniques to solve the problem, and the obtained results are promising in comparison to the Office Lens.有抱负者 发表于 2025-3-25 11:38:35
Self Similarity Matrix Based CNN Filter Pruning,g after training the model. Both the training and pruning process is completed simultaneously. We benchmark our method on two of the most popular CNN models - ResNet and VGG and record their performance on the CIFAR-10 dataset.mediocrity 发表于 2025-3-25 16:45:07
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1865-0929 sentation, Motion and Tracking, Image/ Video Scene Understanding, Image/Video Retrieval, Remote Sensing, Hyperspectral Image Processing, Face, Iris, Emotion, Sign Language and Gesture Recognition, etc..978-3-031-31416-2978-3-031-31417-9Series ISSN 1865-0929 Series E-ISSN 1865-0937ELUDE 发表于 2025-3-26 06:00:52
Integrating with Other Systems,trics. In case of Flavia dataset, an accuracy of 98.58% is obtained with a computational time of 3.53 s. For Leaf-12 dataset, an accuracy of 99% is obtained with a computational time of 4.45 s. The model trained on Leaf-12 dataset performed better in identifying the plant species under unconstrained environment.Matrimony 发表于 2025-3-26 12:18:15
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Working with Forms and Validators technique outperforms state-of-the-art approaches (. SFFCM and an approach by Wang .) when tested using metrics such as Accuracy, the Jaccard Index, F1-score, False Alarms and Misses. We also show that the FLLF technique is more computationally efficient.Gnrh670 发表于 2025-3-26 17:47:54
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