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Efficient Deep Learning Model Compression for Sensor-Based Vision Systems via Outlier-Aware Quantization [PDF]
SensorsWith the rapid growth of sensor technology and computer vision, efficient deep learning models are essential for real-time image feature extraction in resource-constrained environments.
Joonhyuk Yoo, Guenwoo Ban
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A survey of model compression techniques: past, present, and future. [PDF]
Front Robot AILiu D +7 more
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Removing Zero Variance Units of Deep Models for COVID-19 Detection
IEEE Access, 2023 Deep Learning has been used for several applications including the analysis of medical images. Some transfer learning works show that an improvement in performance is obtained if a pre-trained model on ImageNet is transferred to a new task.
Jesus Garcia-Ramirez +2 more
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IEEE Access, 2023 Our previous research applied a novel classification-integrated moving average (CIMA) method, an intelligence method that improves the performance of passive infrared (PIR) sensors in smart lighting to make control more comfortable for the user. However,
Aji Gautama Putrada +3 more
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Automatic Detection of Generated Texts and Energy: Exploring the Relationship [PDF]
E3S Web of Conferences, 2023 The proliferation of artificial intelligence (AI) and natural language processing (NLP) technologies has enabled the generation of realistic and coherent texts, but it also raises concerns regarding the potential misuse of these technologies for ...
Al Karkouri Adnane +2 more
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Combine-Net: An Improved Filter Pruning Algorithm
Information, 2021 The powerful performance of deep learning is evident to all. With the deepening of research, neural networks have become more complex and not easily generalized to resource-constrained devices.
Jinghan Wang, Guangyue Li, Wenzhao Zhang
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Neural Network Compression via Low Frequency Preference
Remote Sensing, 2023 Network pruning has been widely used in model compression techniques, and offers a promising prospect for deploying models on devices with limited resources.
Chaoyan Zhang +3 more
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ThreshNet: An Efficient DenseNet Using Threshold Mechanism to Reduce Connections
IEEE Access, 2022 With the continuous development of neural networks for computer vision tasks, more and more network architectures have achieved outstanding success. As one of the most advanced neural network architectures, DenseNet shortcuts all feature maps to solve ...
Rui-Yang Ju +4 more
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Surface Defect Segmentation Algorithm of Steel Plate Based on Geometric Median Filter Pruning
Frontiers in Bioengineering and Biotechnology, 2022 Problems such as redundancy of detection model parameters make it difficult to apply to factory embedded device applications. This paper focuses on the analysis of different existing deep learning model compression algorithms and proposes a model pruning
Zhiqiang Hao +8 more
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An Industrial-Grade Solution for Crop Disease Image Detection Tasks
Frontiers in Plant Science, 2022 Crop leaf diseases can reflect the current health status of the crop, and the rapid and automatic detection of field diseases has become one of the difficulties in the process of industrialization of agriculture.
Guowei Dai, Jingchao Fan, Jingchao Fan
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