1 code implementation • 24 May 2024 • Neehar Kondapaneni, Markus Marks, Oisin MacAodha, Pietro Perona
It produces 1/30 of CRP's explanations while only resulting in a slight reduction in explanation quality.
Explainable artificial intelligence Explainable Artificial Intelligence (XAI)
1 code implementation • 29 Sep 2023 • Neehar Kondapaneni, Markus Marks, Manuel Knott, Rogerio Guimaraes, Pietro Perona
Our cross-domain segmentation method, trained on Cityscapes, achieves SOTA results on Dark Zurich-val and Nighttime Driving.
Ranked #1 on Semantic Segmentation on Nighttime Driving
1 code implementation • 20 Jul 2022 • Neehar Kondapaneni, Pietro Perona, Oisin Mac Aodha
In this work, we propose a novel task of tracing the evolving classification behavior of human learners as they engage in challenging visual classification tasks.
1 code implementation • 8 Dec 2020 • Neehar Kondapaneni, Pietro Perona
As a result, our model acquires the ability to estimate numerosity, i. e. the number of objects in the scene, as well as subitization, i. e. the ability to recognize at a glance the exact number of objects in small scenes.