no code implementations • 15 Sep 2023 • Yue Hu, Gourav Datta, Kira Beerel, Peter Beerel
This implies that ML pipelines might not need explicit correction for RS for many object detection applications, but mitigating RS effects in ISP-less ML pipelines that target fine-grained location of the objects may need additional research.
1 code implementation • 6 Aug 2023 • Yue Hu, Xinan Ye, Yifei Liu, Souvik Kundu, Gourav Datta, Srikar Mutnuri, Namo Asavisanu, Nora Ayanian, Konstantinos Psounis, Peter Beerel
This paper presents "FireFly", a synthetic dataset for ember detection created using Unreal Engine 4 (UE4), designed to overcome the current lack of ember-specific training resources.
no code implementations • 16 Sep 2022 • Fang Chen, Gourav Datta, Souvik Kundu, Peter Beerel
With the aggressive down-sampling of the activation maps in the initial layers (providing up to 22x reduction in memory consumption), our approach achieves 1. 43% higher test accuracy compared to SOTA techniques with iso-memory footprints.
no code implementations • NeurIPS 2021 • Souvik Kundu, Qirui Sun, Yao Fu, Massoud Pedram, Peter Beerel
Knowledge distillation (KD) has recently been identified as a method that can unintentionally leak private information regarding the details of a teacher model to an unauthorized student.