wanggrun / Kalman-NormalizationLinks
Code of "Batch Kalman Normalization: Towards Training Deep Neural Networks with Micro-Batches"
☆22Updated 7 years ago
Alternatives and similar repositories for Kalman-Normalization
Users that are interested in Kalman-Normalization are comparing it to the libraries listed below
Sorting:
- Learnable Embedding Space for Efficient Neural Architecture Compression☆29Updated 6 years ago
- SparseMask: Differentiable Connectivity Learning for Dense Image Prediction.☆51Updated 6 years ago
- Tensorflow Implementation of ChannelNets (NeurIPS 18)☆76Updated 6 years ago
- PyTorch implementation of Dynamic Grouping Convolution and Groupable ConvNet with pre-trained G-ResNeXt models☆69Updated 5 years ago
- Sparse Switchable Normalization with sparse activation function SparestMax☆64Updated 5 years ago
- Neural Rejuvenation: Improving Deep Network Training by Enhancing Computational Resource Utilization at CVPR'19☆48Updated 6 years ago
- An PyTorch implementation of Drop an Octave: Reducing Spatial Redundancy in Convolutional Neural Networks with Octave Convolution☆41Updated 6 years ago
- ☆49Updated 5 years ago
- Model, selected at random, from the training set of the paper "Taskonomy: Disentangling Task Transfer Learning"☆50Updated 6 years ago
- Pytorch implementation of of "Domain Intersection and Domain Difference" (ICCV 2019)☆40Updated 5 years ago
- Switchable Normalization for semantic image segmentation and scene parsing.☆48Updated 6 years ago
- ☆90Updated 6 years ago
- A ShuffleBatchNorm layer to shuffle BatchNorm statistics across multiple GPUs☆56Updated 3 years ago
- Pytorch implementation of "Compact Global Descriptor for Neural Networks" (CGD).☆25Updated 6 months ago
- Capsule research with our trivial contribution☆53Updated 6 years ago
- Data-Driven Neuron Allocation for Scale Aggregation Networks☆52Updated 6 years ago
- Yet Another Pytorch Distributed MobileNetV2-based Networks Implementation☆64Updated 5 years ago
- Implementation of Octave Convolution from Drop an Octave: Reducing Spatial Redundancy in Convolutional Neural Networks with Octave Convol…☆57Updated 6 years ago
- Detail-Preserving Pooling in Deep Networks (CVPR 2018)☆116Updated 6 years ago
- Implementation of our ECCV '18 paper " Deep Expander Networks: Efficient Deep Networks from Graph Theory".☆42Updated 5 years ago
- Caffe implementation for Active Shift Layer(ASL)☆32Updated 6 years ago
- A Pytorch implementation of https://arxiv.org/abs/1810.12348.☆37Updated 6 years ago
- Code base for our paper " Adversarial Scene Editing: Automatic Object Removal from Weak Supervision" appearing in NIPS 2018.☆59Updated 6 years ago
- Pytorch code for our NeurIPS 2019 paper "Cross-channel Communication Networks"☆41Updated 5 years ago
- Pytorch implementation of group normalization in https://arxiv.org/abs/1803.08494 (Following the PyTorch Style)☆87Updated 6 years ago
- Unofficial implementation of Stand-Alone Self-Attention in Vision Models (obsolete)☆44Updated 6 years ago
- Fast, high accuracy video segmentation framework (CVPR 2019 oral)☆54Updated 6 years ago
- An official collection of code in different frameworks that reproduces experiments in "Group Normalization"☆118Updated 4 years ago
- Code for "Are labels necessary for neural architecture search"☆92Updated last year
- Small scale experiments with group normalization☆58Updated 7 years ago