Gramian Attention Heads are Strong yet Efficient Vision Learners

25 October 2023

Papers citing "Gramian Attention Heads are Strong yet Efficient Vision Learners"

10 / 10 papers shown

Title
Learning Features with Parameter-Free Layers Dongyoon Han Y. Yoo Beomyoung Kim Byeongho Heo 35 8 0 06 Feb 2022
ResNet strikes back: An improved training procedure in timm Ross Wightman Hugo Touvron Hervé Jégou AI4TS 209 487 0 01 Oct 2021
On Feature Decorrelation in Self-Supervised Learning Tianyu Hua Wenxiao Wang Zihui Xue Sucheng Ren Yue Wang Hang Zhao SSL OOD 117 187 0 02 May 2021
Transformer in Transformer Kai Han An Xiao Enhua Wu Jianyuan Guo Chunjing Xu Yunhe Wang ViT 284 1,524 0 27 Feb 2021
Fine-Grained Visual Classification via Progressive Multi-Granularity Training of Jigsaw Patches Ruoyi Du Dongliang Chang A. Bhunia Jiyang Xie Zhanyu Ma Yi-Zhe Song Jun Guo 74 291 0 08 Mar 2020
Bag of Tricks for Image Classification with Convolutional Neural Networks Tong He Zhi-Li Zhang Hang Zhang Zhongyue Zhang Junyuan Xie Mu Li 221 1,399 0 04 Dec 2018
Knowledge Distillation by On-the-Fly Native Ensemble Xu Lan Xiatian Zhu S. Gong 192 473 0 12 Jun 2018
Feature Pyramid Networks for Object Detection Tsung-Yi Lin Piotr Dollár Ross B. Girshick Kaiming He Bharath Hariharan Serge J. Belongie ObjD 171 21,804 0 09 Dec 2016
Multimodal Compact Bilinear Pooling for Visual Question Answering and Visual Grounding Akira Fukui Dong Huk Park Daylen Yang Anna Rohrbach Trevor Darrell Marcus Rohrbach 149 1,465 0 06 Jun 2016
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 296 39,194 0 01 Sep 2014