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GitHub / BIT-DA / RIPU
[CVPR 2022 Oral] Towards Fewer Annotations: Active Learning via Region Impurity and Prediction Uncertainty for Domain Adaptive Semantic Segmentation https://arxiv.org/abs/2111.12940
JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/BIT-DA%2FRIPU
Stars: 128
Forks: 20
Open Issues: 1
License: mit
Language: Python
Repo Size: 16.7 MB
Dependencies:
12
Created: about 2 years ago
Updated: 8 months ago
Last pushed: 8 months ago
Last synced: 8 months ago
Topics: data-efficient-learning, domain-adaptation, semantic-segmantation, source-free-domain-adaptation
Files
Dependencies
- Pillow ==8.4.0
- imageio ==2.9.0
- matplotlib ==3.4.3
- mmcv ==1.3.17
- mmcv_full ==1.3.10
- numpy ==1.21.2
- opencv_contrib_python ==4.5.3.56
- scikit_learn ==1.0.1
- torch ==1.7.1
- torchvision ==0.8.2
- tqdm ==4.62.3
- yacs ==0.1.8