What's new in v1.1.0
- Support PyTorch models with
insert_xai()
API for saliency map generation on PyTorch / ONNX runtime - Support OpenVINO IR (.xml) / ONNX (.onnx) model files for
Explainer
- Enable AISE method: Adaptive Input Sampling for Explanation of Black-box Models
- Add Pointing Game, Insertion-Deletion AUC and ADCC quality metrics for saliency maps
- Upgrade OpenVINO to 2024.4.0
- Add saliency map visualization with explanation.plot()
- Enable flexible naming for saved saliency maps and include confidence scores
Please refer to the change logs for the full release history.