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:
- 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
- Code for CVPR2021 paper: MOOD: Multi-level Out-of-distribution Detection☆38Updated 2 years ago
- understanding model mistakes with human annotations☆106Updated 2 years ago
- Implementation and Benchmark Splits to study Out-of-Distribution Generalization in Deep Metric Learning.☆25Updated 4 years ago
- Masking Strategies for Background Bias Removal in Computer Vision Models (ICCVW OODCV 2023 paper)☆16Updated 7 months ago
- Un-offical PyTorch Implementation of "Class-Balanced Distillation for Long-Tailed Visual Recognition" paper.☆17Updated 4 years ago
- ☆13Updated 3 years ago
- This is a code repository for paper OODformer: Out-Of-Distribution Detection Transformer☆40Updated 4 years ago
- Making Heads or Tails Towards Semantically Consistent Visual Counterfactuals☆30Updated 3 years ago
- Implementation of Cross Transformer for spatially-aware few-shot transfer, in Pytorch☆54Updated 4 years ago
- PRIME: A Few Primitives Can Boost Robustness to Common Corruptions☆41Updated 3 years ago
- (ICML 2021) Implementation for S2SD - Simultaneous Similarity-based Self-Distillation for Deep Metric Learning. Paper Link: https://arxiv…☆44Updated 5 years ago
- [ICLR 2023] “ Layer Grafted Pre-training: Bridging Contrastive Learning And Masked Image Modeling For Better Representations”, Ziyu Jian…☆24Updated 2 years ago
- Github code for the paper Maximum Class Separation as Inductive Bias in One Matrix. Arxiv link: https://arxiv.org/abs/2206.08704☆30Updated 2 years ago
- Official Pytorch Implementation of: "Semantic Diversity Learning for Zero-Shot Multi-label Classification"(ICCV, 2021) paper☆31Updated 3 years ago
- Importance of Self-Consistency in Active Learning for Semantic Segmentation (BMVC 2020)☆17Updated 4 years ago
- Code to replicate the key results from Exploring the Limits of Out-of-Distribution Detection (https://arxiv.org/abs/2106.03004) by Stanis…☆44Updated 4 years ago
- ☆36Updated 3 years ago
- The official repository for "Intermediate Layers Matter in Momentum Contrastive Self Supervised Learning" paper.☆40Updated 3 years ago
- ☆57Updated 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
- Official code and data for NeurIPS 2023 paper "ImageNet-Hard: The Hardest Images Remaining from a Study of the Power of Zoom and Spatial …☆41Updated 2 years ago
- Code for ECCV 2022 paper "DICE: Leveraging Sparsification for Out-of-Distribution Detection"☆41Updated 3 years ago
- DiWA: Diverse Weight Averaging for Out-of-Distribution Generalization☆31Updated 3 years ago
- Robust Contrastive Learning Using Negative Samples with Diminished Semantics (NeurIPS 2021)☆39Updated 4 years ago
- [MIDL 2023] Official Imeplementation of "Making Your First Choice: To Address Cold Start Problem in Vision Active Learning"☆37Updated 2 years ago
- This repository contains the code for our CVPR 2022 paper on "Non-isotropy Regularization for Proxy-based Deep Metric Learning".☆15Updated 2 years ago
- PixMix: Dreamlike Pictures Comprehensively Improve Safety Measures (CVPR 2022)☆110Updated 3 years ago
- ☆17Updated 2 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