Autoencoders with Intrinsic Dimension Constraints for Learning Low
Dimensional Image Representations

Autoencoders with Intrinsic Dimension Constraints for Learning Low Dimensional Image Representations

16 April 2023

Jianzhang Zheng

Jian Yang

Papers citing "Autoencoders with Intrinsic Dimension Constraints for Learning Low Dimensional Image Representations"

5 / 5 papers shown

Title
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 322 7,481 0 11 Nov 2021
Emerging Properties in Self-Supervised Vision Transformers Mathilde Caron Hugo Touvron Ishan Misra Hervé Jégou Julien Mairal Piotr Bojanowski Armand Joulin 383 5,818 0 29 Apr 2021
The Intrinsic Dimension of Images and Its Impact on Learning Phillip E. Pope Chen Zhu Ahmed Abdelkader Micah Goldblum Tom Goldstein 197 262 0 18 Apr 2021
Xception: Deep Learning with Depthwise Separable Convolutions François Chollet MDE BDL PINN 257 14,387 0 07 Oct 2016
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 310 39,252 0 01 Sep 2014