Self-Attentive Pooling for Efficient Deep Learning

16 September 2022

Papers citing "Self-Attentive Pooling for Efficient Deep Learning"

7 / 7 papers shown

Title
ReDistill: Residual Encoded Distillation for Peak Memory Reduction of CNNs Fang Chen Gourav Datta Mujahid Al Rafi Hyeran Jeon Meng Tang 63 1 0 06 Jun 2024
MobileViT: Light-weight, General-purpose, and Mobile-friendly Vision Transformer Sachin Mehta Mohammad Rastegari ViT 152 1,027 0 05 Oct 2021
Mobile-Former: Bridging MobileNet and Transformer Yinpeng Chen Xiyang Dai Dongdong Chen Mengchen Liu Xiaoyi Dong Lu Yuan Zicheng Liu ViT 139 356 0 12 Aug 2021
Sparsity in Deep Learning: Pruning and growth for efficient inference and training in neural networks Torsten Hoefler Dan Alistarh Tal Ben-Nun Nikoli Dryden Alexandra Peste MQ 111 526 0 31 Jan 2021
Context-aware Attentional Pooling (CAP) for Fine-grained Visual Classification Ardhendu Behera Zachary Wharton Pradeep Ruwan Padmasiri Galbokka Hewage Asish Bera 31 80 0 17 Jan 2021
Detail-Preserving Pooling in Deep Networks Faraz Saeedan Nicolas Weber Michael Goesele Stefan Roth 23 87 0 11 Apr 2018
Densely Connected Convolutional Networks Gao Huang Zhuang Liu L. V. D. van der Maaten Kilian Q. Weinberger PINN 3DV 220 9,849 0 25 Aug 2016