no code implementations • 28 May 2024 • Issar Tzachor, Boaz Lerner, Matan Levy, Michael Green, Tal Berkovitz Shalev, Gavriel Habib, Dvir Samuel, Noam Korngut Zailer, Or Shimshi, Nir Darshan, Rami Ben-Ari
In this paper, we propose a simple yet powerful approach to better exploit the potential of a foundation model for VPR.
Ranked #1 on Visual Place Recognition on Eynsham
no code implementations • 8 Nov 2022 • Zhikang Zhang, Bruno Machado Trindade, Michael Green, Zifan Yu, Christopher Pawlowicz, Fengbo Ren
Due to the complicated nanoscale structures of current integrated circuits(IC) builds and low error tolerance of IC image segmentation tasks, most existing automated IC image segmentation approaches require human experts for visual inspection to ensure correctness, which is one of the major bottlenecks in large-scale industrial applications.
1 code implementation • 13 Sep 2022 • Lewis Belcher, Johan Gudmundsson, Michael Green
Ever since the Multilayered Perceptron was first introduced the connectionist community has struggled with the concept of uncertainty and how this could be represented in these types of models.
1 code implementation • NeurIPS 2021 • Mitchell Plyler, Michael Green, Min Chi
Rationales, snippets of extracted text that explain an inference, have emerged as a popular framework for interpretable natural language processing (NLP).