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Methods/Inception-v3 Module

Inception-v3 Module

Computer VisionIntroduced 200095 papers

Description

Inception-v3 Module is an image block used in the Inception-v3 architecture. This architecture is used on the coarsest (8 × 8) grids to promote high dimensional representations.

Papers Using This Method

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 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 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 Evaluating Generalizability of Deep Learning Models Using Indian-COVID-19 CT Dataset2022-12-28 Efficient approach of using CNN based pretrained model in Bangla handwritten digit recognition2022-09-19 An Evolutionary, Gradient-Free, Query-Efficient, Black-Box Algorithm for Generating Adversarial Instances in Deep Networks2022-08-17