KernelWarehouse: Rethinking the Design of Dynamic Convolution

12 June 2024

Chao Li

Papers citing "KernelWarehouse: Rethinking the Design of Dynamic Convolution"

20 / 20 papers shown

Title
Revisiting Dynamic Convolution via Matrix Decomposition Yunsheng Li Yinpeng Chen Xiyang Dai Mengchen Liu Dongdong Chen Ye Yu Lu Yuan Zicheng Liu Mei Chen Nuno Vasconcelos 37 68 0 15 Mar 2021
Involution: Inverting the Inherence of Convolution for Visual Recognition Duo Li Jie Hu Changhu Wang Xiangtai Li Qi She Lei Zhu Tong Zhang Qifeng Chen BDL 26 303 0 10 Mar 2021
Training data-efficient image transformers & distillation through attention Hugo Touvron Matthieu Cord Matthijs Douze Francisco Massa Alexandre Sablayrolles Hervé Jégou ViT 224 6,657 0 23 Dec 2020
WeightNet: Revisiting the Design Space of Weight Networks Ningning Ma Xinming Zhang Jiawei Huang Jian Sun 20 107 0 23 Jul 2020
PSConv: Squeezing Feature Pyramid into One Compact Poly-Scale Convolutional Layer Duo Li Anbang Yao Qifeng Chen 27 30 0 13 Jul 2020
Dynamic Convolution: Attention over Convolution Kernels Yinpeng Chen Xiyang Dai Mengchen Liu Dongdong Chen Lu Yuan Zicheng Liu 46 880 0 07 Dec 2019
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks Mingxing Tan Quoc V. Le 3DV MedIm 38 17,950 0 28 May 2019
CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features Sangdoo Yun Dongyoon Han Seong Joon Oh Sanghyuk Chun Junsuk Choe Y. Yoo OOD 551 4,735 0 13 May 2019
Searching for MobileNetV3 Andrew G. Howard Mark Sandler Grace Chu Liang-Chieh Chen Bo Chen ... Yukun Zhu Ruoming Pang Vijay Vasudevan Quoc V. Le Hartwig Adam 240 6,685 0 06 May 2019
DynamoNet: Dynamic Action and Motion Network Ali Diba Vivek Sharma Luc Van Gool Rainer Stiefelhagen 45 110 0 25 Apr 2019
Gather-Excite: Exploiting Feature Context in Convolutional Neural Networks Jie Hu Li Shen Samuel Albanie Gang Sun Andrea Vedaldi 41 573 0 29 Oct 2018
CBAM: Convolutional Block Attention Module Sanghyun Woo Jongchan Park Joon-Young Lee In So Kweon 149 16,337 0 17 Jul 2018
Burst Denoising with Kernel Prediction Networks B. Mildenhall Jonathan T. Barron Jiawen Chen Dillon Sharlet Ren Ng Robert E. Carroll 75 393 0 06 Dec 2017
Squeeze-and-Excitation Networks Jie Hu Li Shen Samuel Albanie Gang Sun Enhua Wu 270 26,241 0 05 Sep 2017
Densely Connected Convolutional Networks Gao Huang Zhuang Liu Laurens van der Maaten Kilian Q. Weinberger PINN 3DV 532 36,599 0 25 Aug 2016
Rethinking the Inception Architecture for Computer Vision Christian Szegedy Vincent Vanhoucke Sergey Ioffe Jonathon Shlens Z. Wojna 3DV BDL 348 27,231 0 02 Dec 2015
Spatial Transformer Networks Max Jaderberg Karen Simonyan Andrew Zisserman Koray Kavukcuoglu 240 7,361 0 05 Jun 2015
Going Deeper with Convolutions Christian Szegedy Wei Liu Yangqing Jia P. Sermanet Scott E. Reed Dragomir Anguelov D. Erhan Vincent Vanhoucke Andrew Rabinovich 222 43,511 0 17 Sep 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 650 99,991 0 04 Sep 2014
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 833 39,383 0 01 Sep 2014