dlmacedo / robust-deep-learningLinks
A project to train your model from scratch or fine-tune a pretrained model using the losses provided in this library to improve out-of-distribution detection and uncertainty estimation performances. Calibrate your model to produce enhanced uncertainty estimations. Detect out-of-distribution data using the defined score type and threshold.
☆17Updated 3 years ago
Alternatives and similar repositories for robust-deep-learning
Users that are interested in robust-deep-learning are comparing it to the libraries listed below
Sorting:
- Code for CVPR2021 paper: MOOD: Multi-level Out-of-distribution Detection☆38Updated 2 years ago
- A project to improve out-of-distribution detection (open set recognition) and uncertainty estimation by changing a few lines of code in y…☆44Updated 3 years ago
- Implementation and Benchmark Splits to study Out-of-Distribution Generalization in Deep Metric Learning.☆25Updated 4 years ago
- Pytorch implementation of Feature Generation for Long-Tail Classification by Rahul Vigneswaran, Marc T Law, Vineeth N Balasubramaniam and…☆38Updated 3 years ago
- PRIME: A Few Primitives Can Boost Robustness to Common Corruptions☆41Updated 3 years ago
- A project to add scalable state-of-the-art out-of-distribution detection (open set recognition) support by changing two lines of code! Pe…☆79Updated 3 years ago
- [NeurIPS'21] "AugMax: Adversarial Composition of Random Augmentations for Robust Training" by Haotao Wang, Chaowei Xiao, Jean Kossaifi, Z…☆125Updated 4 years ago
- Code of our method MbLS (Margin-based Label Smoothing) for network calibration. To Appear at CVPR 2022. Paper : https://arxiv.org/abs/211…☆50Updated 3 years ago
- ☆31Updated 8 months ago
- Un-offical PyTorch Implementation of "Class-Balanced Distillation for Long-Tailed Visual Recognition" paper.☆17Updated 4 years ago
- [CVPR 2022] Official code for the paper: "A Stitch in Time Saves Nine: A Train-Time Regularizing Loss for Improved Neural Network Calibra…☆33Updated 3 years ago
- This is a code repository for paper OODformer: Out-Of-Distribution Detection Transformer☆41Updated 4 years ago
- Code for Active Mixup in 2020 CVPR☆23Updated 4 years ago
- [ICLR 2023] “ Layer Grafted Pre-training: Bridging Contrastive Learning And Masked Image Modeling For Better Representations”, Ziyu Jian…☆24Updated 2 years ago
- ☆36Updated 3 years ago
- Official Pytorch Implementation of: "Semantic Diversity Learning for Zero-Shot Multi-label Classification"(ICCV, 2021) paper☆31Updated 3 years ago
- Code release for NeurIPS 2020 paper "Co-Tuning for Transfer Learning"☆40Updated 3 years ago
- Implementation of Cross Transformer for spatially-aware few-shot transfer, in Pytorch☆54Updated 4 years ago
- DiWA: Diverse Weight Averaging for Out-of-Distribution Generalization☆31Updated 2 years ago
- (ICML 2021) Implementation for S2SD - Simultaneous Similarity-based Self-Distillation for Deep Metric Learning. Paper Link: https://arxiv…☆44Updated 5 years ago
- Code for ECCV 2022 paper "DICE: Leveraging Sparsification for Out-of-Distribution Detection"☆40Updated 3 years ago
- [SafeAI'21] Feature Space Singularity for Out-of-Distribution Detection.☆79Updated 4 years ago
- [WACV21] Code for our paper: Samuel, Atzmon and Chechik, "From Generalized zero-shot learning to long-tail with class descriptors"☆28Updated 4 years ago
- Official code for "Mean Shift for Self-Supervised Learning"☆57Updated 4 years ago
- Masking Strategies for Background Bias Removal in Computer Vision Models (ICCVW OODCV 2023 paper)☆16Updated 6 months ago
- Official code and data for NeurIPS 2023 paper "ImageNet-Hard: The Hardest Images Remaining from a Study of the Power of Zoom and Spatial …☆40Updated 2 years ago
- MOS: Towards Scaling Out-of-distribution Detection for Large Semantic Space☆98Updated 4 years ago
- ☆57Updated 4 years ago
- ☆46Updated 5 years ago
- ☆13Updated 3 years ago