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

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

4 / 4 papers shown

Title
Convolutional Neural Networks Are Not Invariant to Translation, but They Can Learn to Be Valerio Biscione J. Bowers OOD 65 26 0 12 Oct 2021
Intriguing Properties of Vision Transformers Muzammal Naseer Kanchana Ranasinghe Salman Khan Munawar Hayat F. Khan Ming-Hsuan Yang ViT 256 620 0 21 May 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 268 2,603 0 04 May 2021
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