CONetV2: Efficient Auto-Channel Size Optimization for CNNs

CONetV2: Efficient Auto-Channel Size Optimization for CNNs

13 October 2021

Mahdi S. Hosseini

Konstantinos N. Plataniotis

Papers citing "CONetV2: Efficient Auto-Channel Size Optimization for CNNs"

4 / 4 papers shown

Title
ATOM: Attention Mixer for Efficient Dataset Distillation Samir Khaki A. Sajedi Kai Wang Lucy Z. Liu Y. Lawryshyn Konstantinos N. Plataniotis 47 3 0 02 May 2024
DataDAM: Efficient Dataset Distillation with Attention Matching A. Sajedi Samir Khaki Ehsan Amjadian Lucy Z. Liu Y. Lawryshyn Konstantinos N. Plataniotis DD 46 59 0 29 Sep 2023
Channel-Directed Gradients for Optimization of Convolutional Neural Networks Dong Lao Peihao Zhu Peter Wonka G. Sundaramoorthi 23 3 0 25 Aug 2020
Wider or Deeper: Revisiting the ResNet Model for Visual Recognition Zifeng Wu Chunhua Shen A. Hengel SSeg 260 1,491 0 30 Nov 2016