VanillaNet: the Power of Minimalism in Deep Learning

22 May 2023

Papers citing "VanillaNet: the Power of Minimalism in Deep Learning"

8 / 8 papers shown

Title
Designing Concise ConvNets with Columnar Stages Ashish Kumar Jaesik Park MQ 18 0 0 05 Oct 2024
StarLKNet: Star Mixup with Large Kernel Networks for Palm Vein Identification Xin Jin Hongyu Zhu M. El-Yacoubi Hongchao Liao Huafeng Qin Yun Jiang 28 6 0 21 May 2024
SpiralMLP: A Lightweight Vision MLP Architecture Haojie Mu Burhan Ul Tayyab Nicholas Chua 29 0 0 31 Mar 2024
ResNet strikes back: An improved training procedure in timm Ross Wightman Hugo Touvron Hervé Jégou AI4TS 198 477 0 01 Oct 2021
CMT: Convolutional Neural Networks Meet Vision Transformers Jianyuan Guo Kai Han Han Wu Yehui Tang Chunjing Xu Yunhe Wang Chang Xu ViT 325 500 0 13 Jul 2021
RepVGG: Making VGG-style ConvNets Great Again Xiaohan Ding X. Zhang Ningning Ma Jungong Han Guiguang Ding Jian-jun Sun 117 1,484 0 11 Jan 2021
Aggregated Residual Transformations for Deep Neural Networks Saining Xie Ross B. Girshick Piotr Dollár Z. Tu Kaiming He 261 10,106 0 16 Nov 2016
Benefits of depth in neural networks Matus Telgarsky 123 600 0 14 Feb 2016