Raymond-sci / PICA
Official Pytorch Implementation for CVPR'20 paper: Deep Semantic Clustering by Partition Confidence Maximisation
☆58Updated 4 years ago
Alternatives and similar repositories for PICA:
Users that are interested in PICA are comparing it to the libraries listed below
- Deep Comprehensive Correlation Mining☆82Updated 4 years ago
- Implementation of Multi-View Information Bottleneck☆131Updated 4 years ago
- Official Pytorch Implementation for ICML'19 paper: Unsupervised Deep Learning by Neighbourhood Discovery☆155Updated 5 years ago
- NeurIPS 2019 : Learning to Propagate for Graph Meta-Learning☆36Updated 5 years ago
- Code for CVPR 2019 paper Label Propagation for Deep Semi-supervised Learning☆116Updated 4 years ago
- "Learning to Discover Novel Visual Categories via Deep Transfer Clustering" by Kai Han, Andrea Vedaldi, Andrew Zisserman (ICCV 2019)☆162Updated 2 years ago
- ☆40Updated 2 years ago
- Deep Adaptive Image Clustering Paper Implementation☆29Updated 6 years ago
- ☆58Updated 7 years ago
- ☆88Updated 4 years ago
- Hyperspherical Prototype Networks☆66Updated 4 years ago
- MoPro: Webly Supervised Learning☆87Updated 4 years ago
- Pytorch implementation of our article "Clustering-driven Deep Embedding with Pairwise Constraints"☆27Updated 6 years ago
- clustering☆115Updated 6 years ago
- ☆55Updated 5 years ago
- The source code of our ACM MM 2019 paper "TGG: Transferable Graph Generation for Zero-shot and Few-shot Learning".☆25Updated 5 years ago
- Sinkhorn Label Allocation is a label assignment method for semi-supervised self-training algorithms. The SLA algorithm is described in fu…☆53Updated 3 years ago
- ☆12Updated 4 years ago
- Tensorflow implementation of "Learning to Balance: Bayesian Meta-learning for Imbalanced and Out-of-distribution Tasks" (ICLR 2020 oral)☆99Updated 4 years ago
- Implementation of Deep Soft-K means☆28Updated 3 years ago
- Code for 'Joint Optimization Framework for Learning with Noisy Labels'☆38Updated 6 years ago
- ICML 2019: Understanding and Utilizing Deep Neural Networks Trained with Noisy Labels☆90Updated 4 years ago
- Exploring Simple Siamese Representation Learning☆60Updated 4 years ago
- Deep Metric Transfer for Label Propagation with Limited Annotated Data☆49Updated last year
- official PyTorch implementation of paper "Continual Meta-Learning with Bayesian Graph Neural Networks" (AAAI2020)☆61Updated 4 years ago
- ☆20Updated 6 years ago
- ☆42Updated 4 years ago
- 90%+ with 40 labels. please see the readme for details.☆37Updated 4 years ago
- ☆46Updated 2 years ago
- infinite mixture prototypes for few-shot learning☆51Updated 2 years ago