osu-cvl / revisiting-bn-init
Code for "Revisiting Batch Norm Initialization".
☆12Updated 2 years ago
Alternatives and similar repositories for revisiting-bn-init
Users that are interested in revisiting-bn-init are comparing it to the libraries listed below
Sorting:
- ☆25Updated 3 years ago
- ☆41Updated 4 years ago
- Official Implementation of Convolutional Normalization: Improving Robustness and Training for Deep Neural Networks☆30Updated 3 years ago
- This repo is for our paper: Normalization Techniques in Training DNNs: Methodology, Analysis and Application☆84Updated 3 years ago
- The project is about predicting sets (of classes) from images.☆22Updated 3 years ago
- PyTorch implementation of MLP-Mixer☆37Updated 4 years ago
- [WACV 2022] "Sandwich Batch Normalization: A Drop-In Replacement for Feature Distribution Heterogeneity" by Xinyu Gong, Wuyang Chen, Tian…☆50Updated 3 years ago
- Batch Renormalization in Pytorch☆45Updated 2 years ago
- The implement code of UPANets: Learning from the Universal Pixel Attention Networks☆14Updated 4 years ago
- Implementation and Benchmark Splits to study Out-of-Distribution Generalization in Deep Metric Learning.☆23Updated 3 years ago
- Implementation for <Regularizing Neural Networks via Minimizing Hyperspherical Energy> in CVPR'20.☆24Updated 4 years ago
- ☆26Updated 4 years ago
- Official code for the paper "Why Do Self-Supervised Models Transfer? Investigating the Impact of Invariance on Downstream Tasks".☆16Updated 3 years ago
- ☆23Updated 4 years ago
- ☆32Updated 4 years ago
- UniMoCo: Unsupervised, Semi-Supervised and Full-Supervised Visual Representation Learning☆55Updated 3 years ago
- Official implementation for "Minimax Active Learning" in PyTorch.☆9Updated 4 years ago
- We investigated corruption robustness across different architectures including Convolutional Neural Networks, Vision Transformers, and th…☆16Updated 3 years ago
- State-of-the-art data augmentation search algorithms in PyTorch☆47Updated last year
- Unofficial PyTorch implementation of "Filter Response Normalization Layer: Eliminating Batch Dependence in the Training of Deep Neural Ne…☆22Updated 5 years ago
- ☆17Updated 2 years ago
- Official Pytorch implementation of the paper: "Locally Shifted Attention With Early Global Integration"☆15Updated 3 years ago
- A way to use superpixels at run-time with Pytorch☆33Updated last year
- (ICML 2021) Implementation for S2SD - Simultaneous Similarity-based Self-Distillation for Deep Metric Learning. Paper Link: https://arxiv…☆42Updated 4 years ago
- pytorch implementation of "Contrastive Multiview Coding", "Momentum Contrast for Unsupervised Visual Representation Learning", and "Unsup…☆18Updated 5 years ago
- Pytorch implemenation of "Learning Filter Basis for Convolutional Neural Network Compression" ICCV2019☆18Updated 3 years ago
- Paper and Code for "Curriculum Learning by Optimizing Learning Dynamics" (AISTATS 2021)☆19Updated 3 years ago
- Robustness via Cross-Domain Ensembles, ICCV 2021 [Oral]☆39Updated 3 years ago
- ☆19Updated 3 years ago
- [ECCV2022] Revisiting the Critical Factors of Augmentation-Invariant Representation Learning☆12Updated 2 years ago