Implementation of the paper All Labels Are Not Created Equal: Enhancing Semi-supervision via Label Grouping and Co-training
☆45Feb 1, 2022Updated 4 years ago
Alternatives and similar repositories for semco
Users that are interested in semco are comparing it to the libraries listed below
Sorting:
- [CVPR 2021] Adaptive Consistency Regularization for Semi-Supervised Transfer Learning☆106Oct 4, 2021Updated 4 years ago
- ☆18May 25, 2022Updated 3 years ago
- PyTorch code for the paper: "FeatMatch: Feature-Based Augmentation for Semi-Supervised Learning"☆50Feb 8, 2021Updated 5 years ago
- Official Pytorch implementation for Distilling Image Classifiers in Object detection (NeurIPS2021)☆32Feb 10, 2022Updated 4 years ago
- Code for reproducing the results in "How Well do Sparse Imagenet Models Transfer?", presented at CVPR 2022☆10Jun 3, 2022Updated 3 years ago
- Code for the paper: "Trash to Treasure: Harvesting OOD Data with Cross-Modal Matching for Open-Set Semi-Supervised Learning"☆25Oct 25, 2021Updated 4 years ago
- ☆26Feb 27, 2022Updated 4 years ago
- Repository for the paper `DASO: Distribution-Aware Semantics-Oriented Pseudo-label Imbalanced Semi-Supervised Learning'.☆73Jun 8, 2022Updated 3 years ago
- Code for CoMatch: Semi-supervised Learning with Contrastive Graph Regularization☆129May 1, 2025Updated 10 months ago
- Code for paper "Not All Unlabeled Data are Equal: Learning to Weight Data in Semi-supervised Learning", Ren et al., NeurIPS'20☆25Jan 10, 2021Updated 5 years ago
- Provable Worst Case Guarantees for the Detection of Out-of-Distribution Data☆13Sep 20, 2022Updated 3 years ago
- fix the speed of tensorflow☆13Jun 15, 2020Updated 5 years ago
- PyTorch implementation of "A Simple Baseline for Low-Budget Active Learning".☆14Dec 22, 2021Updated 4 years ago
- The code for our AAAI 22 paper "Semi-Supervised Learning with Multi-Head Co-Training" and journal submission.☆11May 14, 2023Updated 2 years ago
- Official implementation of "Towards Good Practices for Efficiently Annotating Large-Scale Image Classification Datasets" (CVPR2021)☆55Oct 7, 2021Updated 4 years ago
- Code for the ICML 2021 paper "Sharing Less is More: Lifelong Learning in Deep Networks with Selective Layer Transfer"☆12Aug 17, 2021Updated 4 years ago
- ☆14Mar 18, 2022Updated 3 years ago
- Learning Features with Parameter-Free Layers, ICLR 2022☆84May 3, 2023Updated 2 years ago
- Unsupervised Domain Adaptive Salient Object Detection Through Uncertainty-Aware Pseudo-Label Learning, AAAI Conference on Artificial Inte…☆30May 25, 2023Updated 2 years ago
- Coupling rejection strategy against adversarial attacks (CVPR 2022)☆29Mar 2, 2022Updated 4 years ago
- Multi-level Consistency Learning for Semi-supervised Domain Adaptation, IJCAI 2022☆14Aug 31, 2022Updated 3 years ago
- A PyTorch Implementation of LaplaceNet:A Hybrid Energy-Neural Model for Deep Semi-Supervised Classification☆15Feb 8, 2022Updated 4 years ago
- A deep semi-supervised method (UATS) for medical segmentation☆14Jul 18, 2024Updated last year
- Official code for the CVPR 2020 paper "Shoestring: Graph-Based Semi-Supervised Classification with Severely Limited Labeled Data."☆10Sep 23, 2020Updated 5 years ago
- Evaluation of semi-supervised learning on challenging datasets☆38Dec 21, 2021Updated 4 years ago
- ICML 2019: Understanding and Utilizing Deep Neural Networks Trained with Noisy Labels☆91Dec 10, 2020Updated 5 years ago
- (ICCV 2021 Oral) Re-distributing Biased Pseudo Labels for Semi-supervised Semantic Segmentation: A Baseline Investigation.☆64Oct 12, 2021Updated 4 years ago
- Visual Representation Learning Benchmark for Self-Supervised Models☆35Apr 18, 2024Updated last year
- Benchmarks for semi-supervised domain generalization.☆72Aug 25, 2022Updated 3 years ago
- PseudoLabel 2013, VAT, PI model, Tempens, MeanTeacher, ICT, MixMatch, FixMatch☆452Mar 13, 2023Updated 2 years ago
- Code for You Only Cut Once: Boosting Data Augmentation with a Single Cut, ICML 2022.☆106Aug 1, 2023Updated 2 years ago
- Fast Axiomatic Attribution for Neural Networks (NeurIPS*2021)☆16Feb 24, 2026Updated last week
- [CVPR 2021] "The Lottery Tickets Hypothesis for Supervised and Self-supervised Pre-training in Computer Vision Models" Tianlong Chen, Jon…☆68Dec 17, 2022Updated 3 years ago
- ☆14May 17, 2023Updated 2 years ago
- Code for: Embedding contrastive unsupervised features to cluster in-and out-of-distribution noise in corrupted image datasets (ECCV 2022)☆14Sep 30, 2022Updated 3 years ago
- Official Implementation of Semantic Distribution-aware Contrastive Adaptation for Semantic Segmentation https://arxiv.org/abs/2105.05013☆38Apr 27, 2022Updated 3 years ago
- [ECCV2022] New benchmark for evaluating pre-trained model; New supervised contrastive learning framework.☆110Dec 8, 2023Updated 2 years ago
- [CVPR 2021] Code for "Augmentation Strategies for Learning with Noisy Labels".☆113Jan 9, 2022Updated 4 years ago
- [ICCVW'21 Best Paper Award] All you need are a few pixels: semantic segmentation with PixelPick☆67Jun 18, 2022Updated 3 years ago