PyTorch implementation of "Contrast to Divide: self-supervised pre-training for learning with noisy labels"
☆71Mar 30, 2021Updated 4 years ago
Alternatives and similar repositories for C2D
Users that are interested in C2D are comparing it to the libraries listed below
Sorting:
- ☆32Apr 22, 2021Updated 4 years ago
- AAAI 2021: Beyond Class-Conditional Assumption: A Primary Attempt to Combat Instance-Dependent Label Noise☆35Jun 9, 2021Updated 4 years ago
- Official Implementation of Early-Learning Regularization Prevents Memorization of Noisy Labels☆300May 22, 2023Updated 2 years ago
- [CVPR 2021] Code for "Augmentation Strategies for Learning with Noisy Labels".☆113Jan 9, 2022Updated 4 years ago
- Code for paper: DivideMix: Learning with Noisy Labels as Semi-supervised Learning☆575Sep 14, 2020Updated 5 years ago
- Learning with Instance-Dependent Label Noise: A Sample Sieve Approach (ICLR2021)☆38Feb 24, 2021Updated 5 years ago
- SSR: An Efficient and Robust Framework for Learning with Unknown Label Noise (BMVC2022)☆31Mar 22, 2025Updated 11 months ago
- Understanding Self-Supervised Learning in a non-IID Setting☆21Oct 21, 2022Updated 3 years ago
- ICLR‘2021: Robust Early-learning: Hindering the Memorization of Noisy Labels☆78Jun 15, 2021Updated 4 years ago
- ICLR 2021, "Learning with feature-dependent label noise: a progressive approach"☆46Oct 29, 2022Updated 3 years ago
- CVPR 2022: Selective-Supervised Contrastive Learning with Noisy Labels☆95Mar 28, 2022Updated 3 years ago
- NeurIPS 2022: Estimating Noise Transition Matrix with Label Correlations for Noisy Multi-Label Learning☆18Mar 3, 2023Updated 2 years ago
- PyTorch implementation for our paper EvidentialMix: Learning with Combined Open-set and Closed-set Noisy Labels☆28Nov 18, 2020Updated 5 years ago
- Learning with Noisy Labels by adopting a peer prediction loss function.☆35Mar 3, 2020Updated 5 years ago
- Sample Prior Guided Robust Model Learning to Suppress Noisy Labels☆31Mar 18, 2022Updated 3 years ago
- CVPR'20: Combating Noisy Labels by Agreement: A Joint Training Method with Co-Regularization☆127Oct 24, 2023Updated 2 years ago
- PyTorch implementation of the paper "Generalized Cross Entropy Loss for Training Deep Neural Networks with Noisy Labels" in NIPS 2018☆129Nov 12, 2019Updated 6 years ago
- PyTorch volume toolkit. Efficient data loading, dataset conversions, visualization tools☆10Dec 7, 2022Updated 3 years ago
- This is an official implementation of our CVPR 2020 paper "Non-Local Neural Networks With Grouped Bilinear Attentional Transforms".☆12Jan 30, 2021Updated 5 years ago
- A pytorch implementation for "Neighborhood Collective Estimation for Noisy Label Identification and Correction", which is accepted by ECC…☆26Apr 11, 2023Updated 2 years ago
- (L2ID@CVPR2021, TNNLS2022) Boosting Co-teaching with Compression Regularization for Label Noise☆51Feb 28, 2023Updated 3 years ago
- [TPAMI2022 & NeurIPS2020] Official implementation of Self-Adaptive Training☆130Oct 17, 2021Updated 4 years ago
- [ICML2020] Normalized Loss Functions for Deep Learning with Noisy Labels☆141Jul 5, 2024Updated last year
- ☆18Nov 24, 2023Updated 2 years ago
- ☆13Jun 15, 2021Updated 4 years ago
- Repository for the paper "Data Efficient Masked Language Modeling for Vision and Language".☆18Sep 17, 2021Updated 4 years ago
- ICLR 2021 (spotlight): Graph Convolution with Low-rank Learnable Local Filters☆16Jan 14, 2021Updated 5 years ago
- Sinkhorn Label Allocation is a label assignment method for semi-supervised self-training algorithms. The SLA algorithm is described in fu…☆54Jun 15, 2021Updated 4 years ago
- PyTroch Implementation of the following paper, "ECACL: A Holistic Framework for Semi-Supervised Domain Adaptation, ICCV'21""☆16Jul 19, 2022Updated 3 years ago
- Deform meshes by reinforcement learning☆17Mar 19, 2021Updated 4 years ago
- MoPro: Webly Supervised Learning☆88May 1, 2025Updated 10 months ago
- Pytorch implementation for ICLR 2021 paper - MiCE: Mixture of Contrastive Experts for Unsupervised Image Clustering☆53Feb 28, 2021Updated 5 years ago
- A Second-Order Approach to Learning with Instance-Dependent Label Noise (CVPR'21 oral)☆43Nov 24, 2022Updated 3 years ago
- Official code for the CVPR 2021 paper "How Well Do Self-Supervised Models Transfer?"☆186Oct 25, 2023Updated 2 years ago
- pytorch implementation of SOSELETO☆15Sep 5, 2019Updated 6 years ago
- ☆13Jan 29, 2024Updated 2 years ago
- About Official PyTorch(MMCV) implementation of “SUMix: Mixup with Semantic and Uncertain Information” (ECCV 2024)☆13Sep 2, 2024Updated last year
- ☆17Nov 27, 2023Updated 2 years ago
- Ranking-based-Instance-Selection☆33Jun 19, 2021Updated 4 years ago