Visual Concept Connectomes (CVPR 2024 Highlight)
Matthew Kowal, Richard P. Wildes, Konstantinos G. Derpanis, (Special thanks to Jason J. Yu for help on this demo) - Works best on large screens.
Visual concept connectomes discovery concepts and their interlayer connections in deep vision models. Each column represents a different layer in a pretrained ImageNet model and each image
is a discovered concept in that layer (shown as 3x3 exemplars) where connected edges are concept contributions (darker lines denote stronger contributions).

Click on a node to get concept
connection information!

Pretrained Model

Selected Model: CLIP

ImageNet Class

Selected Class: tennis_ball