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Multi-scale Xception based depthwise separable convolution for single image super-resolution | PLOS ONE
Multi-scale Xception based depthwise separable convolution for single image super-resolution | PLOS ONE

Xception: Implementing from scratch using Tensorflow | by Arjun Sarkar | Towards Data Science
Xception: Implementing from scratch using Tensorflow | by Arjun Sarkar | Towards Data Science

Xception: Implementing from scratch using Tensorflow | by Arjun Sarkar | Towards Data Science
Xception: Implementing from scratch using Tensorflow | by Arjun Sarkar | Towards Data Science

Concept of Xception architecture | Download Scientific Diagram
Concept of Xception architecture | Download Scientific Diagram

Architecture of the Xception deep CNN model | Download Scientific Diagram
Architecture of the Xception deep CNN model | Download Scientific Diagram

Xception: Implementing from scratch using Tensorflow | by Arjun Sarkar | Towards Data Science
Xception: Implementing from scratch using Tensorflow | by Arjun Sarkar | Towards Data Science

What is the function of Conv 1 by 1 inside the Xception architecture? is it Pointwise Operations after separable Conv? | ResearchGate
What is the function of Conv 1 by 1 inside the Xception architecture? is it Pointwise Operations after separable Conv? | ResearchGate

Xception: Deep Learning with Depth-wise Separable Convolutions
Xception: Deep Learning with Depth-wise Separable Convolutions

An xception model based on residual attention mechanism for the classification of benign and malignant gastric ulcers | Scientific Reports
An xception model based on residual attention mechanism for the classification of benign and malignant gastric ulcers | Scientific Reports

XCeption Model and Depthwise Separable Convolutions -
XCeption Model and Depthwise Separable Convolutions -

Tutorial: implementing Xception in TensorFlow 2.0 using the Functional API.ipynb - Colaboratory
Tutorial: implementing Xception in TensorFlow 2.0 using the Functional API.ipynb - Colaboratory

XCeption Model and Depthwise Separable Convolutions -
XCeption Model and Depthwise Separable Convolutions -

Xception | Papers With Code
Xception | Papers With Code

A comparative study of multiple neural network for detection of COVID-19 on chest X-ray | EURASIP Journal on Advances in Signal Processing | Full Text
A comparative study of multiple neural network for detection of COVID-19 on chest X-ray | EURASIP Journal on Advances in Signal Processing | Full Text

Convolutional Neural Network Must Reads: Xception, ShuffleNet, ResNeXt and DenseNet - CV Notes
Convolutional Neural Network Must Reads: Xception, ShuffleNet, ResNeXt and DenseNet - CV Notes

Proposed structure of Xception network used within each stream of CNN | Download Scientific Diagram
Proposed structure of Xception network used within each stream of CNN | Download Scientific Diagram

Xception — With Depthwise Separable Convolution
Xception — With Depthwise Separable Convolution

An xception model based on residual attention mechanism for the classification of benign and malignant gastric ulcers | Scientific Reports
An xception model based on residual attention mechanism for the classification of benign and malignant gastric ulcers | Scientific Reports

Figure 1 from Xception: Deep Learning with Depthwise Separable Convolutions | Semantic Scholar
Figure 1 from Xception: Deep Learning with Depthwise Separable Convolutions | Semantic Scholar

Xception: Deep Learning with Depth-wise Separable Convolutions
Xception: Deep Learning with Depth-wise Separable Convolutions

Xception_Implementation | Kaggle
Xception_Implementation | Kaggle

PDF] Xception: Deep Learning with Depthwise Separable Convolutions | Semantic Scholar
PDF] Xception: Deep Learning with Depthwise Separable Convolutions | Semantic Scholar

Review: Xception — With Depthwise Separable Convolution, Better Than Inception-v3 (Image Classification) | by Sik-Ho Tsang | Towards Data Science
Review: Xception — With Depthwise Separable Convolution, Better Than Inception-v3 (Image Classification) | by Sik-Ho Tsang | Towards Data Science

Review: Xception — With Depthwise Separable Convolution, Better Than Inception-v3 (Image Classification) | by Sik-Ho Tsang | Towards Data Science
Review: Xception — With Depthwise Separable Convolution, Better Than Inception-v3 (Image Classification) | by Sik-Ho Tsang | Towards Data Science

Diagnostics | Free Full-Text | Optimized Xception Learning Model and XgBoost Classifier for Detection of Multiclass Chest Disease from X-ray Images
Diagnostics | Free Full-Text | Optimized Xception Learning Model and XgBoost Classifier for Detection of Multiclass Chest Disease from X-ray Images

Mathematics | Free Full-Text | Enhancement of Deep Learning in Image Classification Performance Using Xception with the Swish Activation Function for Colorectal Polyp Preliminary Screening
Mathematics | Free Full-Text | Enhancement of Deep Learning in Image Classification Performance Using Xception with the Swish Activation Function for Colorectal Polyp Preliminary Screening