Knowledge distillation to effectively attain both region-of-interest and
global semantics from an image where multiple objects appear

Knowledge distillation to effectively attain both region-of-interest and global semantics from an image where multiple objects appear

11 July 2024

Seonwhee Jin

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Papers citing "Knowledge distillation to effectively attain both region-of-interest and global semantics from an image where multiple objects appear"

7 / 7 papers shown

Title
Co-advise: Cross Inductive Bias Distillation Sucheng Ren Zhengqi Gao Tianyu Hua Zihui Xue Yonglong Tian Shengfeng He Hang Zhao 74 52 0 23 Jun 2021
MLP-Mixer: An all-MLP Architecture for Vision Ilya O. Tolstikhin N. Houlsby Alexander Kolesnikov Lucas Beyer Xiaohua Zhai ... Andreas Steiner Daniel Keysers Jakob Uszkoreit Mario Lucic Alexey Dosovitskiy 423 2,674 0 04 May 2021
MobileNetV2: Inverted Residuals and Linear Bottlenecks Mark Sandler Andrew G. Howard Menglong Zhu A. Zhmoginov Liang-Chieh Chen 184 19,284 0 13 Jan 2018
Improved Regularization of Convolutional Neural Networks with Cutout Terrance Devries Graham W. Taylor 117 3,765 0 15 Aug 2017
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization Ramprasaath R. Selvaraju Michael Cogswell Abhishek Das Ramakrishna Vedantam Devi Parikh Dhruv Batra FAtt 321 20,023 0 07 Oct 2016
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.9K 150,115 0 22 Dec 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 1.7K 39,547 0 01 Sep 2014