329 citations · 343 across the 2 of their papers we have counts for
2 papers
stat.ML2016★ 329 cited
Grad-CAM: Why did you say that?
Ramprasaath R Selvaraju, Abhishek Das, Ramakrishna Vedantam +3
We propose a technique for making Convolutional Neural Network (CNN)-based models more transparent by visualizing input regions that are 'important' for predictions -- or visual ex…
cs.CV2014★ 14 cited
Combining the Best of Graphical Models and ConvNets for Semantic Segmentation
Michael Cogswell, Xiao Lin, Senthil Purushwalkam +1
We present a two-module approach to semantic segmentation that incorporates Convolutional Networks (CNNs) and Graphical Models. Graphical models are used to generate a small (5-30)…