lonePatient / EvoNorms_PyTorchLinks
Evolving Normalization-Activation Layers
☆19Updated 5 years ago
Alternatives and similar repositories for EvoNorms_PyTorch
Users that are interested in EvoNorms_PyTorch are comparing it to the libraries listed below
Sorting:
- Rectified Convolution☆45Updated 2 years ago
- Advanced optimizer with Gradient-Centralization☆21Updated 4 years ago
- Locally Enhanced Self-Attention: Rethinking Self-Attention as Local and Context Terms☆20Updated 3 years ago
- ☆37Updated 4 years ago
- Unofficial PyTorch implementation of "Filter Response Normalization Layer: Eliminating Batch Dependence in the Training of Deep Neural Ne…☆22Updated 5 years ago
- ☆28Updated 5 years ago
- ☆19Updated 4 years ago
- The official implementation of paper "Instance Enhancement Batch Normalization: an Adaptive Regulator of Batch Noise".☆40Updated last year
- ☆20Updated 2 years ago
- Code for our ICAR 2019 paper "ANDA: A Novel Data Augmentation Technique Applied to Salient Object Detection"☆21Updated 2 years ago
- ☆26Updated 4 years ago
- The Pytorch implementation of "Location-aware Upsampling for Semantic Segmentation" (LaU)☆53Updated 5 years ago
- A Pytorch implementation of https://arxiv.org/abs/1810.12348.☆37Updated 6 years ago
- Detectron with VoVNet(CVPRW'19) backbone networks☆17Updated 5 years ago
- ContextLab: A Toolbox for Context Feature Augmentation developed with PyTorch☆39Updated 5 years ago
- Cyclic Differentiable Architecture Search☆36Updated 3 years ago
- Unofficial implementation for SOLO instance segmentation☆25Updated 5 years ago
- ☆23Updated 4 years ago
- Codes for DATA: Differentiable ArchiTecture Approximation.☆11Updated 3 years ago
- [ECCV 2020] Scale Adaptive Network: Learning to Learn Parameterized Classification Networks for Scalable Input Images☆43Updated 4 years ago
- PyTorch implementation of PatchAutoAugment☆23Updated 3 years ago
- State-of-the-art data augmentation search algorithms in PyTorch☆47Updated last year
- Pytorch implemenation of "Learning Filter Basis for Convolutional Neural Network Compression" ICCV2019☆18Updated 3 years ago
- PyTorch implementation for OD-cheap-convolution.☆20Updated 5 years ago
- Reducing Channel Redundancy in Convolutional Neural Networks by Features Recombining (TIP 2021)☆18Updated 2 years ago
- This project is the Torch implementation of our accepted CVPR 2019 paper, Iterative Normalization: Beyond Standardization towards Effic…☆25Updated 4 years ago
- "Learning Rate Dropout" in PyTorch☆34Updated 5 years ago
- ☆16Updated last month
- pytorch implementation of Funnel Activation (FReLU)☆16Updated 4 years ago
- batchboost is a variation on MixUp that instead of mixing just two images, mixes many images together.☆44Updated 5 years ago