Westlake-AI/openmixup
CAIRI Supervised, Semi- and Self-Supervised Visual Representation Learning Toolbox and Benchmark
Combines mixup data augmentation techniques with supervised, semi-supervised, and self-supervised learning pipelines using a modular OpenMMLab-compatible architecture. Supports both CNN and Transformer backbones across contrastive and masked image modeling pre-training methods, integrating downstream evaluation with Detectron2 and MMSegmentation for detection and segmentation tasks.
656 stars and 24 monthly downloads. Available on PyPI.
Stars
656
Forks
61
Language
Python
License
Apache-2.0
Category
Last pushed
Oct 15, 2025
Monthly downloads
24
Commits (30d)
0
Dependencies
16
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