Jiaolong / ss-da-consistency
Self-Supervised Domain Adaptation with Consistency Training
☆19Updated 4 years ago
Alternatives and similar repositories for ss-da-consistency:
Users that are interested in ss-da-consistency are comparing it to the libraries listed below
- Training scripts and Python modules for the ECCV 2018 paper "Interpolating Convolutional Networks Using Batch Normalization"☆12Updated 4 years ago
- This is the official pytorch implementation for the paper: Instance Similarity Learning for Unsupervised Feature Representation.☆21Updated 3 years ago
- Pytorch implementation of "Bidirectional One-Shot Unsupervised Domain Mapping" ICCV 2019☆26Updated 5 years ago
- ☆13Updated 3 years ago
- Implementation for <Regularizing Neural Networks via Minimizing Hyperspherical Energy> in CVPR'20.☆23Updated 4 years ago
- Code for our paper "On Out-of-distribution detection with Energy-based Models" accepted to the ICML 2021 Workshop on Uncertainty & Robus…☆20Updated 3 years ago
- Bayesian Adaptive Superpixel Segmentation (ICCV 2019)☆22Updated 5 years ago
- The code release for "Variational Structured Attention Networks for Visual Dense Representation Learning"☆14Updated 2 years ago
- This is an official implementation of our CVPR 2020 paper "Non-Local Neural Networks With Grouped Bilinear Attentional Transforms".☆12Updated 4 years ago
- Locally Enhanced Self-Attention: Rethinking Self-Attention as Local and Context Terms☆20Updated 3 years ago
- Official Pytorch implementation of the paper: "Locally Shifted Attention With Early Global Integration"☆15Updated 3 years ago
- Autoencoding Variational Transformations (AVT) in pytorch, ICCV 2019☆18Updated 5 years ago
- ECCV22 "Improving Covariance Conditioning of the SVD Meta-layer by Orthogonality" and T-PAMI extension☆12Updated 2 years ago
- awesome video-based self-supervised learning methods in recently years☆9Updated 4 years ago
- The implementation of paper ''Efficient Attention Network: Accelerate Attention by Searching Where to Plug''.☆20Updated last year
- [ICLR 2020] Haotao Wang, Tianlong Chen, Zhangyang Wang, Kede Ma, "I Am Going MAD: Maximum Discrepancy Competition for Comparing Classifie…☆20Updated 3 years ago
- Code release for NeurIPS 2020 paper "Stochastic Normalization"☆23Updated 3 years ago
- Official Implementation of Convolutional Normalization: Improving Robustness and Training for Deep Neural Networks☆30Updated 3 years ago
- This is the official repository for Batch Level Distillation (BLD)☆14Updated 4 years ago
- We investigated corruption robustness across different architectures including Convolutional Neural Networks, Vision Transformers, and th…☆16Updated 3 years ago
- Robustness via Cross-Domain Ensembles, ICCV 2021 [Oral]☆39Updated 3 years ago
- Distributed Network Architecture Search☆9Updated 5 years ago
- ☆25Updated 3 years ago
- Official implementation for "Minimax Active Learning" in PyTorch.☆9Updated 4 years ago
- Official code for NeurIPS paper "Combinatorial Optimization for Panoptic Segmentation: A Fully Differentiable Approach".☆16Updated 2 years ago
- Pytorch code for our NeurIPS 2019 paper "Cross-channel Communication Networks"☆41Updated 5 years ago
- Embedding-based Scalable Segmentation Network☆28Updated 2 years ago
- Learning from Limited and Imperfect Data (L2ID): Classification Challenges☆18Updated 4 years ago
- The project is about predicting sets (of classes) from images.☆22Updated 3 years ago
- Official repository for Reliable Label Bootstrapping☆19Updated 2 years ago