no code implementations • 8 Feb 2024 • Sreetama Sarkar, Souvik Kundu, Peter A. Beerel
Our experimental evaluations show that RLNet can yield models with up to 11. 14x fewer ReLUs, with accuracy close to the all-ReLU models, on clean, naturally perturbed, and gradient-based perturbed images.
no code implementations • 18 Oct 2023 • Sreetama Sarkar, Xinan Ye, Gourav Datta, Peter A. Beerel
Efficient and effective on-line detection and correction of bad pixels can improve yield and increase the expected lifetime of image sensors.
no code implementations • 6 Apr 2023 • Md Abdullah-Al Kaiser, Gourav Datta, Sreetama Sarkar, Souvik Kundu, Zihan Yin, Manas Garg, Ajey P. Jacob, Peter A. Beerel, Akhilesh R. Jaiswal
The massive amounts of data generated by camera sensors motivate data processing inside pixel arrays, i. e., at the extreme-edge.