Distilling Visual Priors from Self-Supervised Learning

Distilling Visual Priors from Self-Supervised Learning

1 August 2020

Xin Wen

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Papers citing "Distilling Visual Priors from Self-Supervised Learning"

8 / 8 papers shown

Title
Data-Efficient Challenges in Visual Inductive Priors: A Retrospective Robert-Jan Bruintjes A. Lengyel O. Kayhan Davide Zambrano Nergis Tomen Hadi Jamali Rad Jan van Gemert VLM 35 0 0 10 Jun 2025
OOD-CV-v2: An extended Benchmark for Robustness to Out-of-Distribution Shifts of Individual Nuisances in Natural Images Bingchen Zhao Jiahao Wang Wufei Ma Artur Jesslen Si-Jia Yang Shaozuo Yu O. Zendel Christian Theobalt Alan Yuille Adam Kortylewski 95 9 0 17 Apr 2023
Vision Learners Meet Web Image-Text Pairs Bingchen Zhao Quan Cui Hao Wu Osamu Yoshie Cheng Yang Oisin Mac Aodha VLM 84 5 0 17 Jan 2023
Image Classification with Small Datasets: Overview and Benchmark Lorenzo Brigato Björn Barz Luca Iocchi Joachim Denzler VLM 71 20 0 23 Dec 2022
Equivariance and Invariance Inductive Bias for Learning from Insufficient Data Tan Wang Qianru Sun Sugiri Pranata J. Karlekar Hanwang Zhang SSL 100 21 0 25 Jul 2022
2nd Place Solution for ICCV 2021 VIPriors Image Classification Challenge: An Attract-and-Repulse Learning Approach Yilu Guo Shicai Yang Weijie Chen Liang Ma Di Xie Shiliang Pu 65 1 0 13 Jun 2022
Self-Supervised Visual Representation Learning with Semantic Grouping Xin Wen Bingchen Zhao Anlin Zheng Xinming Zhang Xiaojuan Qi SSL 226 74 0 30 May 2022
OOD-CV: A Benchmark for Robustness to Out-of-Distribution Shifts of Individual Nuisances in Natural Images Bingchen Zhao Shaozuo Yu Wufei Ma M. Yu Shenxiao Mei Angtian Wang Ju He Alan Yuille Adam Kortylewski 73 53 0 29 Nov 2021