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.
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).
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 • 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.