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Methods/Inception-v3

Inception-v3

Computer VisionIntroduced 200098 papers

Description

Inception-v3 is a convolutional neural network architecture from the Inception family that makes several improvements including using Label Smoothing, Factorized 7 x 7 convolutions, and the use of an auxiliary classifer to propagate label information lower down the network (along with the use of batch normalization for layers in the sidehead).

Papers Using This Method

Domain Knowledge Integrated CNN-xLSTM-xAtt Network with Multi Stream Feature Fusion for Cuffless Blood Pressure Estimation from Photoplethysmography Signals2025-05-13 A Pragmatic Note on Evaluating Generative Models with Fréchet Inception Distance for Retinal Image Synthesis2025-02-24 PAR-AdvGAN: Improving Adversarial Attack Capability with Progressive Auto-Regression AdvGAN2025-02-16 Dual-Flow: Transferable Multi-Target, Instance-Agnostic Attacks via In-the-wild Cascading Flow Optimization2025-02-04 A Feature-Level Ensemble Model for COVID-19 Identification in CXR Images using Choquet Integral and Differential Evolution Optimization2025-01-14 Classification of Geographical Land Structure Using Convolution Neural Network and Transfer Learning2024-11-19 Normalizing Flow-Based Metric for Image Generation2024-10-02 Automated Web-Based Malaria Detection System with Machine Learning and Deep Learning Techniques: A Comparative Analysis2024-06-27 Automated Web-Based Malaria Detection System with Machine Learning and Deep Learning Techniques2024-06-27 Enhancing Breast Cancer Diagnosis in Mammography: Evaluation and Integration of Convolutional Neural Networks and Explainable AI2024-04-05 Unveiling the Human-like Similarities of Automatic Facial Expression Recognition: An Empirical Exploration through Explainable AI2024-01-22 Rethinking FID: Towards a Better Evaluation Metric for Image Generation2023-11-30 Presentation Attack Detection using Convolutional Neural Networks and Local Binary Patterns2023-11-23 Feature Extraction for Generative Medical Imaging Evaluation: New Evidence Against an Evolving Trend2023-11-22 Deep learning in computed tomography pulmonary angiography imaging: a dual-pronged approach for pulmonary embolism detection2023-11-09 Benchmark Generation Framework with Customizable Distortions for Image Classifier Robustness2023-10-28 Adversarial attacks on hybrid classical-quantum Deep Learning models for Histopathological Cancer Detection2023-09-08 A Novel Explainable Artificial Intelligence Model in Image Classification problem2023-07-09 Comparative study of Transformer and LSTM Network with attention mechanism on Image Captioning2023-03-05 Does image resolution impact chest X-ray based fine-grained Tuberculosis-consistent lesion segmentation?2023-01-10