Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 8 of 8 for “"EfficientNet"”.
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Efficientnext: Efficientnet For Embedded Systems
… state of the art are being pushed to new levels. EfficientNet pushed the performance metrics to a new high and EfficientNetV2 even more so. Even so, architectures for mobile applications can benefit from improved accuracy and reduced model footprint. The classic Inverted Residual block has been …
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Improving Object Detection using Enhanced EfficientNet Architecture
EfficientNet is designed to achieve top accuracy while utilizing fewer parameters, in addition to less computational resources compared to previous models. In this paper, we are presenting compound scaling method that re-weight the network’s width (w), depth(d), and resolution (r), which leads to …
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Automatická analýza obrazu pro kontrolu kvality výroby textilií
… sítí (CNN). Nejlepší výsledky měla síť EfficientNet, která dosáhla přesnosti 81% při vyhodnocení metodou křížové validace na dostupném datasetu. V rámci práce je provedena řada experimentů, které jsou zaměřeny na úpravu vstupních dat. Zkoumán je vliv tvaru a složení vstupních snímků na …
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Low-Complexity Structured Neural Networks and Their Usage in Image and Signal Processing
… networks, including CNN, R-CNN, Faster R-CNN, EfficientNet- B0, and ViT-B/16 on the STL-10 dataset at 128 × 128 resolution, marking a reduction of at least 90% in FLOPs relative to all benchmark NNs and at least 62% in comparison with CNN, R-CNN, Faster R-CNN, and EfficientNet-B0. The third …
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Enhancing detection of cervical cancer through deep learning: a comparative study of histological image-based algorithms
… application of DL models—ResNet50, SqueezeNet, EfficientNet, and a Visual Prompting Model—for classifying cervical cells using histopathological images. I conduct a comparative analysis to evaluate these models based on accuracy, sensitivity, specificity, and interpretability. To enhance model …
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Segregation similarity loss in morphological ranking of image search in histopathology
… overcome these issues. This model, namely custom EfficientNet, is based on EfficientNet topology, but it is tailored for classifying histopathology images. The utilized model is evaluated over three-tumor-type brain, lung, and kidney from TCGA repository. The results show that the proposed model, …
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Deep learning-based seagrass detection and classification from underwater digital images
… huge unlabelled seagrass data. We propose an EfficientNet-B5-based semi-supervised framework that leverages a large collection of unlabelled seagrass data with the guidance of a small, labelled seagrass dataset. We introduced a multi-species seagrass classifier based on EfficientNet-B5 that …
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Object Detection Using Vision Transformed EfficientDet
… utilized in the industry, such as RetinaNet, EfficientNet, and EfficientDet, primarily employ convolution. Experimental evaluations were conducted using the PASCAL VOC 2007 and 2012 datasets, widely acknowledged benchmarks for object detection. The integrated ViT-EfficientDet model achieved an …