Coreset Sampling from Open-Set for Fine-Grained Self-Supervised Learning

20 March 2023

Papers citing "Coreset Sampling from Open-Set for Fine-Grained Self-Supervised Learning"

8 / 8 papers shown

Title
Understanding Retrieval-Augmented Task Adaptation for Vision-Language Models Yifei Ming Yixuan Li VLM 23 7 0 02 May 2024
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 258 7,412 0 11 Nov 2021
Fine-Grained Image Analysis with Deep Learning: A Survey Xiu-Shen Wei Yi-Zhe Song Oisin Mac Aodha Jianxin Wu Yuxin Peng Jinhui Tang Jian Yang Serge J. Belongie 66 279 0 11 Nov 2021
FlexMatch: Boosting Semi-Supervised Learning with Curriculum Pseudo Labeling Bowen Zhang Yidong Wang Wenxin Hou Hao Wu Jindong Wang Manabu Okumura T. Shinozaki AAML 218 861 0 15 Oct 2021
Open-Set Recognition: a Good Closed-Set Classifier is All You Need? S. Vaze Kai Han Andrea Vedaldi Andrew Zisserman BDL 167 404 0 12 Oct 2021
Emerging Properties in Self-Supervised Vision Transformers Mathilde Caron Hugo Touvron Ishan Misra Hervé Jégou Julien Mairal Piotr Bojanowski Armand Joulin 295 5,761 0 29 Apr 2021
Cross-X Learning for Fine-Grained Visual Categorization W. Luo Xitong Yang Xianjie Mo Yuheng Lu L. Davis Jun Li Jian Yang Ser-Nam Lim 72 193 0 10 Sep 2019
Aggregated Residual Transformations for Deep Neural Networks Saining Xie Ross B. Girshick Piotr Dollár Z. Tu Kaiming He 261 10,196 0 16 Nov 2016