Adapting Contrastive Language-Image Pretrained (CLIP) Models for Out-of-Distribution Detection

10 March 2023

Papers citing "Adapting Contrastive Language-Image Pretrained (CLIP) Models for Out-of-Distribution Detection"

7 / 7 papers shown

Title
What Do Self-Supervised Vision Transformers Learn? Namuk Park Wonjae Kim Byeongho Heo Taekyung Kim Sangdoo Yun SSL 65 76 1 01 May 2023
Your Out-of-Distribution Detection Method is Not Robust! Mohammad Azizmalayeri Arshia Soltani Moakhar Arman Zarei Reihaneh Zohrabi M. T. Manzuri M. Rohban OODD 29 14 0 30 Sep 2022
Exposing Outlier Exposure: What Can Be Learned From Few, One, and Zero Outlier Images Philipp Liznerski Lukas Ruff Robert A. Vandermeulen Billy Joe Franks Klaus-Robert Muller Marius Kloft UQCV 38 44 0 23 May 2022
Intriguing Properties of Vision Transformers Muzammal Naseer Kanchana Ranasinghe Salman Khan Munawar Hayat F. Khan Ming-Hsuan Yang ViT 251 618 0 21 May 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
Robust Out-of-distribution Detection for Neural Networks Jiefeng Chen Yixuan Li Xi Wu Yingyu Liang S. Jha OODD 150 83 0 21 Mar 2020
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 282 39,170 0 01 Sep 2014