1 code implementation • CVPR 2020 • Keivan Alizadeh Vahid, Anish Prabhu, Ali Farhadi, Mohammad Rastegari
By replacing pointwise convolutions with BFT, we reduce the computational complexity of these layers from O(n^2) to O(n\log n) with respect to the number of channels.
1 code implementation • 8 Oct 2021 • Elvis Nunez, Maxwell Horton, Anish Prabhu, Anurag Ranjan, Ali Farhadi, Mohammad Rastegari
Our models require no retraining, thus our subspace of models can be deployed entirely on-device to allow adaptive network compression at inference time.
no code implementations • 8 Oct 2021 • Dmitrii Marin, Jen-Hao Rick Chang, Anurag Ranjan, Anish Prabhu, Mohammad Rastegari, Oncel Tuzel
Token Pooling is a simple and effective operator that can benefit many architectures.
1 code implementation • 21 Jul 2022 • Chien-Yu Lin, Anish Prabhu, Thomas Merth, Sachin Mehta, Anurag Ranjan, Maxwell Horton, Mohammad Rastegari
In this paper, we perform an empirical evaluation on methods for sharing parameters in isotropic networks (SPIN).
no code implementations • 8 Sep 2023 • Elvis Nunez, Thomas Merth, Anish Prabhu, Mehrdad Farajtabar, Mohammad Rastegari, Sachin Mehta, Maxwell Horton
Multi-scale resolution training has seen an increased adoption across multiple vision tasks, including classification and detection.