ArantxaCasanova / ralis
Code for the paper "Reinforced Active Learning for Image Segmentation"
☆90Updated 3 years ago
Related projects: ⓘ
- [CVPR'20] Implementation for the paper "ViewAL: Active Learning with Viewpoint Entropy for Semantic Segmentation"☆142Updated last year
- ☆92Updated 3 years ago
- Implementation of the paper Self-Supervised Learning of Pretext-Invariant Representations☆89Updated 4 years ago
- This Python package enables the training and inference of deep learning models for very large data, such as megapixel images, using atten…☆98Updated 4 years ago
- Code for Universal Semi-Supervised Semantic Segmentation models paper accepted in ICCV 2019☆70Updated 4 years ago
- Code for "Domain Adaptation for Semantic Segmentation with Maximum Squares Loss" in PyTorch.☆113Updated 11 months ago
- PyTorch implementation of "Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning" with DDP and Apex AMP☆79Updated 4 years ago
- Offical code base for the ECCV oral paper "Synthesize then Compare: Detecting Failures and Anomalies for Semantic Segmentation"☆61Updated 3 years ago
- Official implementation of Fixed-Point GAN - ICCV 2019☆98Updated 3 years ago
- segmentation paper reading notes☆53Updated 5 years ago
- PyTorch Implementation of Contrastive Predictive Coding for image recognition, based on research papers https://arxiv.org/abs/1807.03748 …☆79Updated 4 years ago
- Code for Paper ''Dual Student: Breaking the Limits of the Teacher in Semi-Supervised Learning'' [ICCV 2019]☆119Updated 4 years ago
- A loss function (Weighted Hausdorff Distance) for object localization in PyTorch☆88Updated 6 years ago
- Implementation of Pixel-level Contrastive Learning, proposed in the paper "Propagate Yourself", in Pytorch☆252Updated 3 years ago
- Learning Saliency Propagation for Semi-supervised Instance Segmentation☆67Updated 4 years ago
- ShellingFord221 / My-implementation-of-What-Uncertainties-Do-We-Need-in-Bayesian-Deep-Learning-for-Computer-VisionPytorch implementation of classification task in What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision (simple vers…☆74Updated 3 years ago
- Implementation of our Pattern Recognition paper "DMT: Dynamic Mutual Training for Semi-Supervised Learning"☆133Updated 2 years ago
- SegSort: Segmentation by Discriminative Sorting of Segments☆158Updated 3 years ago
- Differentiable Data Augmentation Library☆119Updated 2 years ago
- ☆136Updated 2 years ago
- The pytorch implementation of self-supervised scale equivariant network for weakly supervised semantic segmentation.☆101Updated 4 years ago
- Code for Image Synthesis with a Convolutional Capsule Generative Adversarial Network☆20Updated 5 years ago
- WACV2021 - A Weakly Supervised Consistency-based Learning Method for COVID-19 Segmentation in CT Images☆40Updated last month
- self-supervised domain adaptation☆46Updated 4 years ago
- ☆31Updated 3 years ago
- EnAET: Self-Trained Ensemble AutoEncoding Transformations for Semi-Supervised Learning☆81Updated 10 months ago
- PyTorch implementation of Foveation for Segmentation of Ultra-High Resolution Images☆41Updated 2 years ago
- A simple consistency training framework for semi-supervised image semantic segmentation☆164Updated last month
- Paper ibrahim et al, cvpr 2020 - Semi-Supervised Semantic Image Segmentation With Self-Correcting Networks☆39Updated 4 years ago