ResNet

Multimodal Fault Diagnosis Using 1D-GRU and 2D-MTF-ResNet-CBAM

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Multimodal Fault Diagnosis Using 1D-GRU and 2D-MTF-ResNet-CBAM

IntroductionThis issue introduces a multimodal fusion classification model based on 1D-GRU+2D-MTF-ResNet-CBAM, which has shown remarkable results in fault diagnosis tasks!1 Model Overview and Innovations1.1 Model OverviewThis model combines time-frequency images and one-dimensional time series signals, utilizing a ResNet optimized with the CBAM attention mechanism and a GRU multimodal feature fusion model for fault signal classification. … Read more

Applications of ResNet in Computer Vision

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Applications of ResNet in Computer Vision

Click the above “Beginner Learning Vision“, select to add “Star” or “Top“ Essential knowledge delivered promptly 1. IntroductionDeep Convolutional Neural Networks have greatly changed the research landscape of image classification [1]. As more layers are added, the model’s expressive power increases; it can learn more complex representations. To some extent, there seems to be a … Read more

Reproducing Classic Backbone Networks Based on PyTorch

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Reproducing Classic Backbone Networks Based on PyTorch

Click on the above“Beginner Learning Vision”, select to add “Star Mark” or “Top” Heavyweight content delivered at the first time Author: helton_yan@CSDN (Authorized)Source: https://blog.csdn.net/SESESssss/article/details/114340066 Abstract This article reproduces the classic Backbone structures Inception v1, ResNet-50, and FPN, and shares some network building tips based on PyTorch, very detailed and informative! >> Join the Extreme City … Read more

Training BERT and ResNet on Smartphones: 35% Energy Reduction

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Training BERT and ResNet on Smartphones: 35% Energy Reduction

Researchers state that they see edge training as an optimization problem, thereby discovering the optimal scheduling to achieve minimal energy consumption under a given memory budget. Currently, deep learning models are widely deployed on edge devices such as smartphones and embedded platforms for inference. Training, however, is still primarily conducted on large cloud servers equipped … Read more

Training BERT and ResNet on Smartphones: 35% Energy Reduction

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Training BERT and ResNet on Smartphones: 35% Energy Reduction

This article is sourced from Machine Heart. Researchers indicate that they viewedge training as an optimization problem, thus discovering the optimal scheduling to achieve minimal energy consumption under a given memory budget. Currently, deep learning models are widely deployed for inference on edge devices such as smartphones and embedded platforms. However, training predominantly occurs on … Read more

Training BERT and ResNet on Smartphones with 35% Energy Reduction

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Training BERT and ResNet on Smartphones with 35% Energy Reduction

Click the “Computer Vision Life” above and select “Star” Quickly get the latest insights This article is reproduced from Machine Heart Researchers state that they view edge training as an optimization problem, thus discovering the optimal scheduling to achieve minimal energy consumption given a memory budget. Currently, deep learning models are widely deployed for inference … Read more

License Plate Detection and Recognition Using Deep Learning (Pytorch)

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License Plate Detection and Recognition Using Deep Learning (Pytorch)

Click on "Xiaobai Learns Vision" above, select to add "Star" or "Top" Heavyweight content delivered first License Plate Recognition Overview License plate recognition based on deep learning, where the vehicle detection network directly uses YOLO for detection. Then, a network is used to detect and recognize the license plate number. The license plate detection network … Read more

Top 10 Deep Learning Models

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Top 10 Deep Learning Models

Approximately 10,000 words, recommended reading time: 15 minutes. This article shares the top 10 models in deep learning, which hold significant positions in terms of innovation, application value, and impact. Since the concept of deep learning was proposed in 2006, nearly 20 years have passed. Deep learning, as a revolution in the field of artificial … Read more

General Backbone Networks in Computer Vision

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General Backbone Networks in Computer Vision

“Academic Window” is a paper recommendation column launched by the Academic Research Department of the Graduate Affairs Center of the School of Computer Science and Technology, aimed at recommending and sharing the latest academic achievements and classic papers in various fields of computer science to students. In the future, it will be pushed on this … Read more

Network Architecture Design: CNN Based and Transformer Based

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Network Architecture Design: CNN Based and Transformer Based

Follow the official account “ML_NLP“ Set as “Starred“, heavy content delivered to you first! Reprinted from | Smarter From DETR to ViT, various works have validated the potential of Transformers in the field of computer vision. Naturally, this raises a new question: which is better for image feature extraction, CNN or Transformer? The advantage of … Read more