Tied-Augment: Controlling Representation Similarity Improves Data Augmentation

22 May 2023

Papers citing "Tied-Augment: Controlling Representation Similarity Improves Data Augmentation"

6 / 6 papers shown

Title
Extract More from Less: Efficient Fine-Grained Visual Recognition in Low-Data Regimes Dmitry Demidov Abduragim Shtanchaev M. Mihaylov Mohammad Almansoori 94 0 0 28 Jun 2024
The Bad Batches: Enhancing Self-Supervised Learning in Image Classification Through Representative Batch Curation Ozgu Goksu Nicolas Pugeault SSL 34 0 0 28 Mar 2024
Incorporating Supervised Domain Generalization into Data Augmentation Shohei Enomoto Monikka Roslianna Busto Takeharu Eda 30 0 0 02 Oct 2023
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 305 7,443 0 11 Nov 2021
With a Little Help from My Friends: Nearest-Neighbor Contrastive Learning of Visual Representations Debidatta Dwibedi Y. Aytar Jonathan Tompson P. Sermanet Andrew Zisserman SSL 188 454 0 29 Apr 2021
Simple Copy-Paste is a Strong Data Augmentation Method for Instance Segmentation Golnaz Ghiasi Huayu Chen A. Srinivas Rui Qian Nayeon Lee E. D. Cubuk Quoc V. Le Barret Zoph ISeg 252 969 0 13 Dec 2020