Xception is a convolutional neural network architecture that relies solely on depthwise separable convolution layers.
Source: Xception: Deep Learning With Depthwise Separable ConvolutionsPaper | Code | Results | Date | Stars |
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Task | Papers | Share |
---|---|---|
Image Classification | 21 | 10.50% |
Classification | 14 | 7.00% |
Semantic Segmentation | 10 | 5.00% |
General Classification | 10 | 5.00% |
Decoder | 7 | 3.50% |
DeepFake Detection | 6 | 3.00% |
Face Swapping | 6 | 3.00% |
Computed Tomography (CT) | 5 | 2.50% |
Pneumonia Detection | 4 | 2.00% |