[CVPR'22] Official Implementation of the CVPR 2022 paper "UNICON: Combating Label Noise Through Uniform Selection and Contrastive Learning"
☆63Oct 10, 2024Updated last year
Alternatives and similar repositories for UNICON
Users that are interested in UNICON are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- [CVPR'22] Official Implementation of "CNLL: A Semi-supervised Approach for Continual Noisy Label Learning"☆18Oct 8, 2024Updated last year
- NeurIPS 2021, "Fine Samples for Learning with Noisy Labels"☆41Nov 29, 2021Updated 4 years ago
- The official implementation of CVPR2023 paper "DISC: Learning from Noisy Labels via Dynamic Instance-Specific Selection and Correction"☆57Jul 19, 2023Updated 2 years ago
- CVPR 2022: Selective-Supervised Contrastive Learning with Noisy Labels☆95Mar 28, 2022Updated 4 years ago
- ICLR‘2021: Robust Early-learning: Hindering the Memorization of Noisy Labels☆78Jun 15, 2021Updated 5 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- [ECCV'24] PyTorch Implementation of "Free-Editor: Zero-shot Text-driven 3D Scene Editing"☆20Dec 5, 2024Updated last year
- Official Implementation of Robust Training under Label Noise by Over-parameterization☆66Sep 15, 2022Updated 3 years ago
- Label-Noise Learning with Intrinsically Long-Tailed Data（ICCV2023）☆20Sep 27, 2023Updated 2 years ago
- This is the official repo for our CVPR22 paper: Scalable Penalized Regression for Noise Detection in Learning With Noisy Labels.☆20Mar 21, 2024Updated 2 years ago
- pytorch☆10Apr 13, 2022Updated 4 years ago
- PyTorch implementation of "Contrast to Divide: self-supervised pre-training for learning with noisy labels"☆70Mar 30, 2021Updated 5 years ago
- Code for paper: DivideMix: Learning with Noisy Labels as Semi-supervised Learning☆577Sep 14, 2020Updated 5 years ago
- Sample Prior Guided Robust Model Learning to Suppress Noisy Labels☆31Mar 18, 2022Updated 4 years ago
- Official Implementation of Early-Learning Regularization Prevents Memorization of Noisy Labels☆301May 22, 2023Updated 3 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- ☆13Jun 15, 2021Updated 5 years ago
- Implementation of the spotlight: a method for discovering systematic errors in deep learning models☆11Oct 5, 2021Updated 4 years ago
- ☆14Dec 21, 2024Updated last year
- ☆17Nov 27, 2023Updated 2 years ago
- [IJCAI 2023] ProMix: Combating Label Noise via Maximizing Clean Sample Utility☆80May 10, 2024Updated 2 years ago
- Challenging label noise called BadLabel; Robust label-noise learning called Robust DivideMix☆12Jan 29, 2024Updated 2 years ago
- ☆14Jan 7, 2023Updated 3 years ago
- A list of awesome partial-label learning papers and codes.☆36May 2, 2025Updated last year
- Learning with Instance-Dependent Label Noise: A Sample Sieve Approach (ICLR2021)☆38Feb 24, 2021Updated 5 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Official code of "ALIM: Adjusting Label Importance Mechanism for Noisy Partial Label Learning"☆23Sep 25, 2023Updated 2 years ago
- IROS Paper: CEFHRI: A Communication Efficient Federated Learning Framework for Recognizing Industrial Human-Robot Interaction☆40Nov 7, 2023Updated 2 years ago
- A curated (most recent) list of resources for Learning with Noisy Labels☆732Oct 18, 2024Updated last year
- The official implementation of the ACM MM'21 paper Co-learning: Learning from noisy labels with self-supervision.☆123May 17, 2022Updated 4 years ago
- The official implementation for paper: Vision-Language Models are Strong Noisy Label Detectors☆18Mar 31, 2025Updated last year
- [CVPR 2021] Code for "Augmentation Strategies for Learning with Noisy Labels".☆113Jan 9, 2022Updated 4 years ago
- [In Progressing]HaN5K: A project to develop foundation models for structure delineation in head and neck radiotherapy based on more than …☆17Dec 25, 2023Updated 2 years ago
- ☆26Aug 6, 2024Updated last year
- [CCS'24] Official Implementation of "Fisher Information guided Purification against Backdoor Attacks"☆15Oct 29, 2025Updated 8 months ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Research code for NeurIPS 2023 paper "Modality-Independent Teachers Meet Weakly-Supervised Audio-Visual Event Parser"☆17Jul 13, 2025Updated 11 months ago
- NeurIPS 2020, "A Topological Filter for Learning with Label Noise".☆31Apr 11, 2025Updated last year
- Code for CVPR2022 paper "Not Just Selection, but Exploration: Online Class-Incremental Continual Learning via Dual View Consistency"☆26Jul 18, 2022Updated 3 years ago
- [CVPR2024] Think Twice Before Selection: Federated Evidential Active Learning for Medical Image Analysis with Domain Shifts☆31Jun 18, 2024Updated 2 years ago
- LatentEditor: Text Driven Local Editing of 3D Scenes☆67Dec 27, 2023Updated 2 years ago
- Learning with Noisy Labels by adopting a peer prediction loss function.☆35Mar 3, 2020Updated 6 years ago
- A weak supervision framework for (partial) labeling functions☆16Jul 15, 2024Updated last year