nttcslab / Generalized-Domain-Adaptation
☆13Updated 3 years ago
Alternatives and similar repositories for Generalized-Domain-Adaptation:
Users that are interested in Generalized-Domain-Adaptation are comparing it to the libraries listed below
- There and Back Again: Revisiting Backpropagation Saliency Methods (CVPR 2020)☆52Updated 4 years ago
- Implementation of DropLoss for Long-Tail Instance Segmentation in Pytorch☆40Updated 3 years ago
- Visual Representation Learning Benchmark for Self-Supervised Models☆35Updated 10 months ago
- Learning Robust Global Representations by Penalizing Local Predictive Power (NeurIPS 2019))☆18Updated 2 years ago
- Hyperparameter-Free Out-of-Distribution Detection Using Softmax of Scaled Cosine Similarity☆31Updated last year
- This is a code repository for paper OODformer: Out-Of-Distribution Detection Transformer☆40Updated 3 years ago
- ☆46Updated 2 years ago
- Code for the paper "Selecting Relevant Features from a Universal Representation for Few-shot Classification"☆41Updated 3 years ago
- (NeurIPS 2020) Meta-Consolidation for Continual Learning☆36Updated 3 years ago
- Official adversarial mixup resynthesis repository☆35Updated 5 years ago
- CVPR2021: Out-of-Distribution Detection Using Union of 1-Dimensional Subspaces☆22Updated 3 years ago
- Robust Contrastive Learning Using Negative Samples with Diminished Semantics (NeurIPS 2021)☆38Updated 3 years ago
- PyTorch implementation of Weighted Batch-Normalization layers☆37Updated 4 years ago
- ☆23Updated 3 years ago
- An implementation of the Residual Flow algorithm for out-of-distribution detection.☆30Updated 2 years ago
- PyTorch code for: Frustratingly Simple Domain Generalization via Image Stylization☆24Updated 4 years ago
- ☆44Updated 3 years ago
- PyTorch implementation of "Self-Supervised Classification Network" from ECCV 2022☆48Updated 2 years ago
- ☆84Updated 2 years ago
- ☆19Updated 5 years ago
- This repository provides code for "On Interaction Between Augmentations and Corruptions in Natural Corruption Robustness".☆45Updated 2 years ago
- [TPAMI 2019] The implementation for "Direction Concentration Learning: Enhancing Congruency in Machine Learning"☆23Updated 5 years ago
- Code for CVPR2021 paper 'Where and What? Examining Interpretable Disentangled Representations'.☆43Updated 3 years ago
- Sinkhorn Label Allocation is a label assignment method for semi-supervised self-training algorithms. The SLA algorithm is described in fu…☆53Updated 3 years ago
- ☆29Updated 3 years ago
- ☆17Updated 2 years ago
- Estimating Example Difficulty using Variance of Gradients☆61Updated 2 years ago
- ☆46Updated 3 years ago
- Official repository for Reliable Label Bootstrapping☆19Updated last year
- Evaluation of semi-supervised learning on challenging datasets☆35Updated 3 years ago