The following pages link to ViT (Q1352240):
Displaying 14 items.
- How does momentum benefit deep neural networks architecture design? A few case studies (Q2079522) (← links)
- TF-Unet: an automatic cardiac MRI image segmentation method (Q2086893) (← links)
- Stochastic modeling of inhomogeneities in the aortic wall and uncertainty quantification using a Bayesian encoder-decoder surrogate (Q2096832) (← links)
- RockGPT: reconstructing three-dimensional digital rocks from single two-dimensional slice with deep learning (Q2147576) (← links)
- Recognition of human movements from video data (Q2171281) (← links)
- Logic explained networks (Q2680793) (← links)
- Transformer with progressive sampling for medical cellular image segmentation (Q2694050) (← links)
- A Comprehensive Review of Modern Object Segmentation Approaches (Q5046687) (← links)
- Semantic Image Segmentation: Two Decades of Research (Q5046690) (← links)
- (Q5053261) (← links)
- (Q5054674) (← links)
- A Deep Learning Modeling Framework to Capture Mixing Patterns in Reactive-Transport Systems (Q5065171) (← links)
- Deep Learning for Image/Video Restoration and Super-resolution (Q5863770) (← links)
- Efficient Identification of Butterfly Sparse Matrix Factorizations (Q5885831) (← links)
