Open-Set Recognition: a Good Closed-Set Classifier is All You Need?

Open-Set Recognition: a Good Closed-Set Classifier is All You Need?

12 October 2021

Andrea Vedaldi

Andrew Zisserman

Papers citing "Open-Set Recognition: a Good Closed-Set Classifier is All You Need?"

6 / 6 papers shown

Title
FungiTastic: A multi-modal dataset and benchmark for image categorization Lukás Picek Klara Janouskova Milan Šulc Jirí Matas 37 1 0 24 Aug 2024
VOS: Learning What You Don't Know by Virtual Outlier Synthesis Xuefeng Du Zhaoning Wang Mu Cai Yixuan Li OODD 143 220 0 02 Feb 2022
MLP-Mixer: An all-MLP Architecture for Vision Ilya O. Tolstikhin N. Houlsby Alexander Kolesnikov Lucas Beyer Xiaohua Zhai ... Andreas Steiner Daniel Keysers Jakob Uszkoreit Mario Lucic Alexey Dosovitskiy 216 2,132 0 04 May 2021
ImageNet-21K Pretraining for the Masses T. Ridnik Emanuel Ben-Baruch Asaf Noy Lihi Zelnik-Manor SSeg VLM CLIP 138 542 0 22 Apr 2021
Conditional Gaussian Distribution Learning for Open Set Recognition Xin Sun Zhen Yang Chi Zhang Guohao Peng K. Ling BDL UQCV 119 192 0 19 Mar 2020
Improved Baselines with Momentum Contrastive Learning Xinlei Chen Haoqi Fan Ross B. Girshick Kaiming He SSL 210 3,029 0 09 Mar 2020