Search Results for author:
Found 1 papers, 1 papers with code
Harmonizing the object recognition strategies of deep neural networks with humans
Across 84 different DNNs trained on ImageNet and three independent datasets measuring the where and the how of human visual strategies for object recognition on those images, we find a systematic trade-off between DNN categorization accuracy and alignment with human visual strategies for object recognition.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
