Description
An Inception Module is an image model block that aims to approximate an optimal local sparse structure in a CNN. Put simply, it allows for us to use multiple types of filter size, instead of being restricted to a single filter size, in a single image block, which we then concatenate and pass onto the next layer.
Papers Using This Method
MF2Summ: Multimodal Fusion for Video Summarization with Temporal Alignment2025-06-12A Deep Learning-Driven Inhalation Injury Grading Assistant Using Bronchoscopy Images2025-05-13MSWAL: 3D Multi-class Segmentation of Whole Abdominal Lesions Dataset2025-03-17DNA 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 Clustering2025-02-27GAMED-Snake: Gradient-aware Adaptive Momentum Evolution Deep Snake Model for Multi-organ Segmentation2025-01-22Multi-classification of High-Frequency Oscillations Using iEEG Signals and Deep Learning Models2024-12-22Data Fusion of Semantic and Depth Information in the Context of Object Detection2024-12-04A 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 Models2024-07-23Explainable Differential Privacy-Hyperdimensional Computing for Balancing Privacy and Transparency in Additive Manufacturing Monitoring2024-07-09A Contrastive Learning Based Convolutional Neural Network for ERP Brain-Computer Interfaces2024-07-02Deepfake Audio Detection Using Spectrogram-based Feature and Ensemble of Deep Learning Models2024-07-01Research on fusing topological data analysis with convolutional neural network2024-06-19A Novel Bounding Box Regression Method for Single Object Tracking2024-05-16Robust EEG-based Emotion Recognition Using an Inception and Two-sided Perturbation Model2024-04-21Machine Learning-Assisted Thermoelectric Cooling for On-Demand Multi-Hotspot Thermal Management2024-04-20