Network Dissection
Network Dissection
**Network Dissection** is an interpretability method for [CNNs](https://paperswithcode.com/methods/category/convolutional-neural-networks) that evaluates the alignment between individual hidden units and a set of visual semantic concepts. By identifying the best alignments, units are given human interpretable labels across a range of objects, parts, scenes, textures, materials, and colors. 

The measurement of interpretability proceeds in three steps:

- Identify a broad set of human-labeled visual concepts.
- Gather the response of the hidden variables to known concepts.
- Quantify alignment of hidden variable−concept pairs.
Interpreting Deep Visual Representations via Network Dissection
https://paperswithcode.com/paper/interpreting-deep-visual-representations-via
Interpreting Deep Visual Representations via Network Dissection