Mix & Match: training convnets with mixed image sizes for improved accuracy, speed and scale resiliency

12 August 2019

Papers citing "Mix & Match: training convnets with mixed image sizes for improved accuracy, speed and scale resiliency"

4 / 4 papers shown

Title
S4ND: Modeling Images and Videos as Multidimensional Signals Using State Spaces Eric N. D. Nguyen Karan Goel Albert Gu Gordon W. Downs Preey Shah Tri Dao S. Baccus Christopher Ré VLM 22 38 0 12 Oct 2022
Learning Enriched Features for Fast Image Restoration and Enhancement Syed Waqas Zamir Aditya Arora Salman Khan Munawar Hayat F. Khan Ming-Hsuan Yang Ling Shao SupR 10 400 0 19 Apr 2022
Restormer: Efficient Transformer for High-Resolution Image Restoration Syed Waqas Zamir Aditya Arora Salman Khan Munawar Hayat F. Khan Ming-Hsuan Yang ViT 32 2,120 0 18 Nov 2021
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima N. Keskar Dheevatsa Mudigere J. Nocedal M. Smelyanskiy P. T. P. Tang ODL 281 2,888 0 15 Sep 2016