wanggrun / Kalman-Normalization
Code of "Batch Kalman Normalization: Towards Training Deep Neural Networks with Micro-Batches"
☆22Updated 6 years ago
Related projects ⓘ
Alternatives and complementary repositories for Kalman-Normalization
- Learnable Embedding Space for Efficient Neural Architecture Compression☆29Updated 5 years ago
- Model, selected at random, from the training set of the paper "Taskonomy: Disentangling Task Transfer Learning"☆49Updated 6 years ago
- Pytorch implementation of "Compact Global Descriptor for Neural Networks" (CGD).☆25Updated 5 years ago
- Pytorch code for our NeurIPS 2019 paper "Cross-channel Communication Networks"☆41Updated 4 years ago
- SparseMask: Differentiable Connectivity Learning for Dense Image Prediction.☆51Updated 5 years ago
- An PyTorch implementation of Drop an Octave: Reducing Spatial Redundancy in Convolutional Neural Networks with Octave Convolution☆40Updated 5 years ago
- Code for Statistically-motivated Second-order Pooling, ECCV2018☆33Updated 6 years ago
- The Pytorch implementation of "Location-aware Upsampling for Semantic Segmentation" (LaU)☆52Updated 4 years ago
- This is the pytorch implementation of "Adaptively Connected Neural Networks" for the currently popular EfficientNet and the efficient DNA…☆10Updated 4 years ago
- Yet Another Pytorch Distributed MobileNetV2-based Networks Implementation☆65Updated 4 years ago
- Tensorflow implementation of Unsupervised learning of object landmarks by factorized spatial embeddings☆29Updated 5 years ago
- ☆49Updated 5 years ago
- ☆40Updated 5 years ago
- Deeply-supervised Knowledge Synergy (CVPR'2019)☆67Updated 3 years ago
- PyTorch implementation of Dynamic Grouping Convolution and Groupable ConvNet with pre-trained G-ResNeXt models☆69Updated 4 years ago
- Sparse Switchable Normalization with sparse activation function SparestMax☆64Updated 5 years ago
- Switchable Normalization for semantic image segmentation and scene parsing.☆48Updated 6 years ago
- Pytorch implementation of of "Domain Intersection and Domain Difference" (ICCV 2019)☆39Updated 4 years ago
- Capsule research with our trivial contribution☆53Updated 6 years ago
- Data-Driven Neuron Allocation for Scale Aggregation Networks☆52Updated 5 years ago
- A ShuffleBatchNorm layer to shuffle BatchNorm statistics across multiple GPUs☆56Updated 2 years ago
- [ICCV 2019 Oral] TA3N: https://github.com/cmhungsteve/TA3N (Most updated repo)☆45Updated this week
- This repository is the code for ARN in CVPR 2018 workshop☆23Updated 4 years ago
- Code for "Are labels necessary for neural architecture search"☆92Updated 8 months ago
- Unofficial implementation of Stand-Alone Self-Attention in Vision Models (obsolete)☆44Updated 5 years ago
- Tensorflow Implementation of ChannelNets (NeurIPS 18)☆75Updated 5 years ago
- The source code of the ECCV 2018 paper: Fine-Grained Visual Categorization using Meta-Learning Optimization with Sample Selection of Auxi…☆27Updated 6 years ago
- ☆30Updated 6 years ago