Following papers are implemented using PyTorch. ResNeXt-29 8x64d 3.97 (1 run) 3.65 (average of 10 runs) 42h50m* ResNeXt-29 16x64d 3.58 (average of 10 runs) shake-shake-26 2x32d (S-S-I) 3.68 3.55 ...
To build a self-supervised magnetic resonance imaging (MRI) foundation model from routine clinical scans and to test whether it can support key glioma-related applications, including post-therapy ...
Photoshop tutorial showing how to make a color photo into an old, black & white tv image against retro wallpaper. Iran sends first significant message of de-escalation, but with a major caveat Alabama ...
Factor non-persistent param init out of __init__ into a common method that can be externally called via init_non_persistent_buffers() after meta-device init. Add set_input_size() method to EVA models, ...
Abstract: High spatial resolution (HSR) image scene classification is currently a research hotspot, aiming to assign semantic labels based on visual information. However, many scene classification ...
Abstract: With an emphasis on convolutional neural networks (CNNs), this research does a thorough analysis of the effectiveness and suitability of the TensorFlow and PyTorch frameworks for image ...
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