mf1024 / Batch-Renormalization-PyTorchLinks
Batch Renormalization module for PyTorch based on paper https://arxiv.org/abs/1702.03275 .
☆16Updated 6 years ago
Alternatives and similar repositories for Batch-Renormalization-PyTorch
Users that are interested in Batch-Renormalization-PyTorch are comparing it to the libraries listed below
Sorting:
- ☆49Updated 5 years ago
- PyTorch implementation for Histogram Loss☆193Updated 6 years ago
- EnAET: Self-Trained Ensemble AutoEncoding Transformations for Semi-Supervised Learning☆81Updated last year
- Code for paper Unsupervised Object Segmentation by Redrawing☆177Updated 5 years ago
- Minimal API for receptive field calculation in PyTorch☆68Updated 3 years ago
- Detail-Preserving Pooling in Deep Networks (CVPR 2018)☆116Updated 6 years ago
- Filter Response Normalization Layer in PyTorch☆121Updated 5 years ago
- ☆182Updated 2 years ago
- An intriguing failing of convolutional neural networks and the CoordConv solution in PyTorch☆72Updated 7 years ago
- PyTorch implementation of "Filter Response Normalization Layer: Eliminating Batch Dependence in the Training of Deep Neural Networks"☆89Updated 5 years ago
- Unofficial implementation of Stand-Alone Self-Attention in Vision Models (obsolete)☆44Updated 6 years ago
- ☆90Updated 6 years ago
- The saliency-based is a distortion layer for convolutional neural networks that helps to improve the spatial sampling of input data for a…☆165Updated 7 years ago
- SparseMask: Differentiable Connectivity Learning for Dense Image Prediction.☆51Updated 6 years ago
- Implementation of Octave Convolution from Drop an Octave: Reducing Spatial Redundancy in Convolutional Neural Networks with Octave Convol…☆57Updated 6 years ago
- Pytorch implementation of "An intriguing failing of convolutional neural networks and the CoordConv solution" - https://arxiv.org/abs/180…☆155Updated last year
- Official repository for Big-Little Net☆58Updated 6 years ago
- Pytorch Implementation of the Kernel Convolution AKA Kervolution Layer from Kervolutional Neural Networks (https://arxiv.org/pdf/1904.039…☆41Updated 6 years ago
- PyTorch implementation of shake-shake regularization☆48Updated 5 years ago
- Code repository for our paper entilted "Metric Learning with HORDE: High-Order Regularizer for Deep Embeddings" accepted at ICCV 2019.☆84Updated 2 years ago
- A PyTorch implementation of shake-shake☆111Updated 5 years ago
- Pytorch implementation of Learning Rate Dropout.☆42Updated 5 years ago
- Implementation from the paper Attention Augmented Convolutional Networks in Tensorflow (https://arxiv.org/pdf/1904.09925v1.pdf)☆46Updated 6 years ago
- ☆181Updated 2 years ago
- Smoothed Dilated Convolutions for Improved Dense Prediction☆74Updated 7 years ago
- Deep Isometric Learning for Visual Recognition (ICML 2020)☆143Updated 3 years ago
- Positional Normalization (PONO) and Moment Shortcut (MS)☆158Updated 4 years ago
- A Pytorch Implementation for Drop an Octave: Reducing Spatial Redundancy in Convolutional Neural Networks with Octave Convolution☆30Updated 6 years ago
- [NeurIPS '18] "Can We Gain More from Orthogonality Regularizations in Training Deep CNNs?" Official Implementation.☆129Updated 3 years ago
- This Python package enables the training and inference of deep learning models for very large data, such as megapixel images, using atten…☆97Updated 6 years ago