Explaining Explainability Mask
Tinghui Zhou discusses the explainability mask and its application in mapping onto images, using the cityscapes data set as an example. The unsupervised approach of the mask is highlighted, along with its ability to improve the robustness of the learning pipeline by filtering out noisy signals.In this clip
From this podcast

Data Skeptic
Unsupervised Depth Perception
Related Questions