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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
ArXivPDFHTML

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
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
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
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
271
2,603
0
04 May 2021
ImageNet Large Scale Visual Recognition Challenge
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
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