DeepGCNs: Making GCNs Go as Deep as CNNs

Müller Matthias
Müller Matthias
Abualshour Abdulellah
Abualshour Abdulellah

IEEE transactions on pattern analysis and machine intelligence, (2021)

Cited by: 4|Views40
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Abstract:

Convolutional Neural Networks have been very successful at solving a variety of computer vision tasks such as object classification and detection, semantic segmentation, activity understanding, to name just a few. One key enabling factor for their great performance has been the ability to train very deep networks. Despite their huge succe...More

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