Hierarchical Network Dissection
Hierarchical Network Dissection
**Hierarchical Network Dissection** is a pipeline for interpreting the internal representation of face-centric inference models. Using a probabilistic formulation, Hierarchical Network Dissection pairs units of the model with concepts in a "Face Dictionary" (a collection of facial concepts with corresponding sample images). Interpretable units are discovered in a [convolution](https://paperswithcode.com/method/convolution) layer through HND to identify multiple instances of unit-concept affinity. The pipeline is inspired by [Network Dissection](https://paperswithcode.com/method/network-dissection), an interpretability model for object-centric and scene-centric models.
Interpreting Face Inference Models using Hierarchical Network Dissection
https://paperswithcode.com/paper/interpreting-face-inference-models-using
Interpreting Face Inference Models using Hierarchical Network Dissection