mf1024 / Batch-Renormalization-PyTorch
Batch Renormalization module for PyTorch based on paper https://arxiv.org/abs/1702.03275 .
☆17Updated 5 years ago
Related projects: ⓘ
- ☆49Updated 4 years ago
- Minimal API for receptive field calculation in PyTorch☆66Updated 2 years ago
- ☆68Updated 3 years ago
- Used torch.optim.lr_scheduler.CosineAnnealingLR()☆31Updated 5 years ago
- Pytorch implementation of of "Domain Intersection and Domain Difference" (ICCV 2019)☆39Updated 4 years ago
- A Pytorch implementation of https://arxiv.org/abs/1810.12348.☆36Updated 5 years ago
- Unofficial implementation of Stand-Alone Self-Attention in Vision Models (obsolete)☆44Updated 5 years ago
- Pytorch implementation of group normalization in https://arxiv.org/abs/1803.08494 (Following the PyTorch Style)☆87Updated 5 years ago
- Code of "Batch Kalman Normalization: Towards Training Deep Neural Networks with Micro-Batches"☆22Updated 6 years ago
- Official repository for Big-Little Net☆58Updated 5 years ago
- PyTorch implementation of Double Attention Net☆26Updated 5 years ago
- A ShuffleBatchNorm layer to shuffle BatchNorm statistics across multiple GPUs☆56Updated 2 years ago
- Code for the paper☆29Updated 5 years ago
- ☆91Updated 5 years ago
- An intriguing failing of convolutional neural networks and the CoordConv solution in PyTorch☆70Updated 6 years ago
- Source code accompanying our CVPR 2019 paper: "NetTailor: Tuning the architecture, not just the weights."☆52Updated 3 years ago
- Pytorch implementation of Learning Rate Dropout.☆42Updated 4 years ago
- Implementation from the paper Attention Augmented Convolutional Networks in Tensorflow (https://arxiv.org/pdf/1904.09925v1.pdf)☆46Updated 5 years ago
- [ICCV 2019 oral] Code for Semi-Supervised Learning by Augmented Distribution Alignment☆62Updated 2 years ago
- PyTorch implementation of "Filter Response Normalization Layer: Eliminating Batch Dependence in the Training of Deep Neural Networks"☆85Updated 4 years ago
- Code for Statistically-motivated Second-order Pooling, ECCV2018☆33Updated 5 years ago
- Batch-Instance Normalization (BIN)☆79Updated 4 years ago
- SparseMask: Differentiable Connectivity Learning for Dense Image Prediction.☆51Updated 5 years ago
- The Pytorch implementation of "Location-aware Upsampling for Semantic Segmentation" (LaU)☆52Updated 4 years ago
- Implementation of Octave Convolution from Drop an Octave: Reducing Spatial Redundancy in Convolutional Neural Networks with Octave Convol…☆57Updated 5 years ago
- Neural Rejuvenation: Improving Deep Network Training by Enhancing Computational Resource Utilization at CVPR'19☆48Updated 5 years ago
- Pytorch implementation of Conditional image-to-image translation (CVPR 2018)☆48Updated 5 years ago
- (CVPR 2020) This repo contains code for "PADS: Policy-Adapted Sampling for Visual Similarity Learning", which proposes learnable triplet …☆60Updated 4 years ago
- Unofficial PyTorch implementation of "Filter Response Normalization Layer: Eliminating Batch Dependence in the Training of Deep Neural Ne…☆22Updated 4 years ago
- Microsoft Internship☆35Updated 3 months ago