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Methods/GoogLeNet

GoogLeNet

Computer VisionIntroduced 2000122 papers
Source Paper

Description

GoogLeNet is a type of convolutional neural network based on the Inception architecture. It utilises Inception modules, which allow the network to choose between multiple convolutional filter sizes in each block. An Inception network stacks these modules on top of each other, with occasional max-pooling layers with stride 2 to halve the resolution of the grid.

Papers Using This Method

MF2Summ: Multimodal Fusion for Video Summarization with Temporal Alignment2025-06-12A Deep Learning-Driven Inhalation Injury Grading Assistant Using Bronchoscopy Images2025-05-13DNA Origami Nanostructures Observed in Transmission Electron Microscopy Images can be Characterized through Convolutional Neural Networks2025-03-13RURANET++: An Unsupervised Learning Method for Diabetic Macular Edema Based on SCSE Attention Mechanisms and Dynamic Multi-Projection Head Clustering2025-02-27Multi-classification of High-Frequency Oscillations Using iEEG Signals and Deep Learning Models2024-12-22A Hybrid Approach for COVID-19 Detection: Combining Wasserstein GAN with Transfer Learning2024-11-10QIANets: Quantum-Integrated Adaptive Networks for Reduced Latency and Improved Inference Times in CNN Models2024-10-14Investigating the Effect of Network Pruning on Performance and Interpretability2024-09-29Evaluating Deep Learning Models for Breast Cancer Classification: A Comparative Study2024-08-29Side-Channel Analysis of OpenVINO-based Neural Network Models2024-07-23Deepfake Audio Detection Using Spectrogram-based Feature and Ensemble of Deep Learning Models2024-07-01Research on fusing topological data analysis with convolutional neural network2024-06-19CSTA: CNN-based Spatiotemporal Attention for Video Summarization2024-05-20Mental Stress Detection: Development and Evaluation of a Wearable In-Ear Plethysmography2024-04-12Multi-horizon short-term load forecasting using hybrid of LSTM and modified split convolution2023-08-15Convolutional neural networks for Alzheimer’s disease detection on MRI images2021-04-29A Framework for Fast Scalable BNN Inference using Googlenet and Transfer Learning2021-01-04Exploring the Security Boundary of Data Reconstruction via Neuron Exclusivity Analysis2020-10-26Automatic Breast Lesion Classification by Joint Neural Analysis of Mammography and Ultrasound2020-09-23From Sound Representation to Model Robustness2020-07-27