A Simple Data Mixing Prior for Improving Self-Supervised Learning

A Simple Data Mixing Prior for Improving Self-Supervised Learning

15 June 2022

Cihang Xie

Papers citing "A Simple Data Mixing Prior for Improving Self-Supervised Learning"

16 / 16 papers shown

Title
How Well Do Supervised 3D Models Transfer to Medical Imaging Tasks? Wenxuan Li Alan L. Yuille Zongwei Zhou MedIm 43 8 0 20 Jan 2025
Understanding Hyperbolic Metric Learning through Hard Negative Sampling Yun Yue Fangzhou Lin Guanyi Mou Ziming Zhang SSL 30 1 0 23 Apr 2024
Representation Synthesis by Probabilistic Many-Valued Logic Operation in Self-Supervised Learning Hiroki Nakamura Masashi Okada T. Taniguchi SSL NAI 23 0 0 08 Sep 2023
Inter-Instance Similarity Modeling for Contrastive Learning Chen Shen Dawei Liu H. Tang Zhe Qu Jianxin Wang SSL 26 4 0 21 Jun 2023
Unsupervised Learning on a DIET: Datum IndEx as Target Free of Self-Supervision, Reconstruction, Projector Head Randall Balestriero 38 3 0 20 Feb 2023
Contrastive pretraining for semantic segmentation is robust to noisy positive pairs Sebastian Gerard Josephine Sullivan 24 1 0 24 Nov 2022
Supervised Contrastive Learning on Blended Images for Long-tailed Recognition Minki Jeong Changick Kim 27 1 0 22 Nov 2022
Max Pooling with Vision Transformers reconciles class and shape in weakly supervised semantic segmentation Simone Rossetti Damiano Zappia Marta Sanzari M. Schaerf F. Pirri ViT 36 57 0 31 Oct 2022
A Unified Analysis of Mixed Sample Data Augmentation: A Loss Function Perspective Chanwoo Park Sangdoo Yun Sanghyuk Chun AAML 16 32 0 21 Aug 2022
Boosting Discriminative Visual Representation Learning with Scenario-Agnostic Mixup Siyuan Li Zicheng Liu Zedong Wang Di Wu Zihan Liu Stan Z. Li 27 26 0 30 Nov 2021
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 305 7,434 0 11 Nov 2021
Survey: Image Mixing and Deleting for Data Augmentation Humza Naveed Saeed Anwar Munawar Hayat Kashif Javed Ajmal Mian 30 78 0 13 Jun 2021
Emerging Properties in Self-Supervised Vision Transformers Mathilde Caron Hugo Touvron Ishan Misra Hervé Jégou Julien Mairal Piotr Bojanowski Armand Joulin 308 5,773 0 29 Apr 2021
MixCo: Mix-up Contrastive Learning for Visual Representation Sungnyun Kim Gihun Lee Sangmin Bae Seyoung Yun SSL 106 80 0 13 Oct 2020
Improved Baselines with Momentum Contrastive Learning Xinlei Chen Haoqi Fan Ross B. Girshick Kaiming He SSL 264 3,369 0 09 Mar 2020
Boosting Self-Supervised Learning via Knowledge Transfer M. Noroozi Ananth Vinjimoor Paolo Favaro Hamed Pirsiavash SSL 209 292 0 01 May 2018