We have also presented extended results in Appendix Table E.1, where we included an additional version of the supervised deep learning model (naive) and another version of the autoencoders (optimized by adding the same design features, such as dropout, regularization, normalization, and kernel in...
Pegvisomant-induced serum insulin-like growth factor-I normalization in patients with acromegaly returns elevated markers of bone turnover to normal. Active acromegaly is associated with increased biochemical markers of bone turnover. Pegvisomant is a GH receptor antagonist that normalizes serum IGF-I ...
For each scale, we filter the feature maps with one 3×3 convolution followed by a batch normalization layer and a ReLU activation layer. We set the feature size of each scale at 48, 64, 96 and 128 respectively. For upsampling layers, we use bi-linear upsampling and a 3×3 convolution...
Ioffe S., Szegedy C. Batch normalization: Accelerating deep network training by reducing internal covariate shift, arXiv:
Acne: Attentive context normalization for robust permutation-equivariant learning. In CVPR, pages 11286–11295, 2020. 2 [37] Hajime Taira, Masatoshi Okutomi, Torsten Sattler, Mircea Cimpoi, Marc Pollefeys, Josef Sivic, Tomas Pajdla, and Ak- ihiko...
Hello, I would like to use connector-x on ARM64 architecture. However, it seems that this library has no ARM architecture version when trying to pip install it via docker buildx on this type of architecture. Would it be possible to relea...
Dataset Distillation by Matching Training Trajectories George Cazenavette1 Tongzhou Wang2 Antonio Torralba2 Alexei A. Efros3 Jun-Yan Zhu1 1Carnegie Mellon University 2Massachusetts Institute of Technology 3UC Berkeley Apple Camel Clock Fox Kangaroo Orange Orchid Pear Pine Tree Tulip...
The Multilingual Cased (New) model also fixes normalization issues in many languages, so it is recommended in languages with non-Latin alphabets (and is often better for most languages with Latin alphabets). When using this model, make sure to pass --do_lower_case=false to run_pretraining....
Batch-normalization and dropout layers are used following all layers (except the final). Approximately 100, 000 patches were used for training. 3 Data and Results 3.1 Evaluation on Synthetic Data We used the KU Leuven synthetic data created by Alessandrini et al. for valida- tion of this ...
Acne: Attentive context normalization for robust permutation-equivariant learning. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pat- tern Recognition, pages 11286–11295, 2020. 2 [57] Dongli Tan, Jiang-Jiang Liu, Xingyu Chen, Chao Chen, Ruixin Zhang, Yunhang Shen,...