1.1.0

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.

1.0.0

What's new in v1.0.0

• Support generation of classification and detection per-class and per-image saliency maps
• Enable White-Box (ReciproCAM) and Black-Box (RISE) eXplainable AI algorithms
• Support CNNs and Transformer-based architectures (validation on diverse set of timm models)
• Enable Explainer (stateful object) as the main interface for XAI algorithms
• Support AUTO mode by default to detect the best XAI method for given models
• Expose insert_xai functional API to support XAI head insertion for OpenVINO IR models

Please refer to the change logs for the full release history.

1.0.0rc1

Release 1.0.0rc1