seominseok0429 / Learning-Loss-for-Active-Learning-PytorchLinks
Learning Loss for Active Learning Pytorch Implementation,(reproduction)
☆32Updated 5 years ago
Alternatives and similar repositories for Learning-Loss-for-Active-Learning-Pytorch
Users that are interested in Learning-Loss-for-Active-Learning-Pytorch are comparing it to the libraries listed below
Sorting:
- ☆47Updated last year
- PyTorch Implementation of Temporal Output Discrepancy for Active Learning, ICCV 2021☆41Updated 3 years ago
- A list of papers on Active Learning and Uncertainty Estimation for Neural Networks.☆66Updated 5 years ago
- Unified Pytorch framework for image-based self-supervised learning☆93Updated 4 years ago
- Official PyTorch code for CVPR 2020 paper "Deep Active Learning for Biased Datasets via Fisher Kernel Self-Supervision"☆35Updated 4 years ago
- ☆46Updated 4 years ago
- Official code for "Mean Shift for Self-Supervised Learning"☆57Updated 4 years ago
- Implementation of the paper Self-Supervised Learning of Pretext-Invariant Representations☆89Updated 5 years ago
- Addressing Failure Prediction by Learning Model Confidence☆173Updated 2 years ago
- self-supervised domain adaptation☆48Updated 5 years ago
- Implementing Billion-scale semi-supervised learning for image classification using Pytorch☆98Updated 6 years ago
- The Combined Anomalous Object Segmentation (CAOS) Benchmark☆160Updated 2 years ago
- Official PyTorch implementation of "Co-Mixup: Saliency Guided Joint Mixup with Supermodular Diversity" (ICLR'21 Oral)☆105Updated 3 years ago
- ☆27Updated 4 years ago
- Code for the paper "Incremental Learning Techniques for Semantic Segmentation", Michieli U. and Zanuttigh P., ICCVW, 2019☆60Updated 5 years ago
- PyTorch code for the paper: "FeatMatch: Feature-Based Augmentation for Semi-Supervised Learning"☆50Updated 4 years ago
- 1'st Place approach for CVPR 2020 Continual Learning Challenge☆46Updated 5 years ago
- Hyperparameter-Free Out-of-Distribution Detection Using Softmax of Scaled Cosine Similarity☆31Updated 2 years ago
- Revisiting Contrastive Methods for Unsupervised Learning of Visual Representations. [NeurIPS 2021]☆89Updated 4 years ago
- A list of active learning methods for deep learning.☆64Updated last year
- 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
- Official PyTorch implementation of "PT4AL: Using Self-Supervised Pretext Tasks for Active Learning (ECCV2022)"☆56Updated last year
- Unsupervised Domain Adaptation through Self-Supervision☆79Updated 4 years ago
- An implementation of the Residual Flow algorithm for out-of-distribution detection.☆31Updated 3 years ago
- MoEx (Moment Exchange)☆141Updated 4 years ago
- Collections of self-supervised methods, based on cvpods.☆58Updated 4 years ago
- PyTorch implementation of "Contrast to Divide: self-supervised pre-training for learning with noisy labels"☆71Updated 4 years ago
- Differentiable Data Augmentation Library☆124Updated 3 years ago
- Importance of Self-Consistency in Active Learning for Semantic Segmentation (BMVC 2020)☆17Updated 4 years ago
- Evaluating AlexNet features at various depths☆40Updated 5 years ago