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We present a novel vision-language prompt learning approach for few-shot out-of-distribution (OOD) detection.
Imagenet: A large-scale hierarchical image database
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A baseline for detecting misclassified and out-of-distribution examples in neural networks
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Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin · 2017
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Places: A 10 million image database for scene recognition
Bolei Zhou, Agata Lapedriza, Aditya Khosla, Aude Oliva, and Antonio Torralba · 2017
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A simple unified framework for detecting out-of-distribution samples and adversarial attacks
Kimin Lee, Kibok Lee, Honglak Lee, and Jinwoo Shin · 2018
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Enhancing the reliability of out-of-distribution image detection in neural networks
Shiyu Liang, Yixuan Li, and Rayadurgam Srikant · 2018
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Luca Bertinetto, Joao F. Henriques, Philip Torr, and Andrea Vedaldi · 2019
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Dan Hendrycks, Mantas Mazeika, and Thomas Dietterich · 2019
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Eric Nalisnick, Akihiro Matsukawa, Yee Whye Teh, Dilan Gorur, and Balaji Lakshminarayanan · 2019
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C2ae: Class conditioned auto-encoder for open-set recognition
Poojan Oza and Vishal M Patel · 2019
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Likelihood ratios for out-of-distribution detection
Jie Ren, Peter J Liu, Emily Fertig, Jasper Snoek, Ryan Poplin, Mark Depristo, Joshua Dillon, and Balaji Lakshminarayanan · 2019
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Unsupervised out-of-distribution detection by maximum classifier discrepancy
Qing Yu and Kiyoharu Aizawa · 2019
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Ood-maml: Meta-learning for few-shot out-of-distribution detection and classification
Taewon Jeong and Heeyoung Kim · 2020
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Why normalizing flows fail to detect out-of-distribution data
Polina Kirichenko, Pavel Izmailov, and Andrew G Wilson · 2020
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Energy-based out-of-distribution detection
Weitang Liu, Xiaoyun Wang, John Owens, and Yixuan Li · 2020
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Universal domain adaptation through self supervision
Kuniaki Saito, Donghyun Kim, Stan Sclaroff, and Kate Saenko · 2020
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Types of out-of-distribution texts and how to detect them
Udit Arora, William Huang, and He He · 2021
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Exploring visual prompts for adapting large-scale models
Hyojin Bahng, Ali Jahanian, Swami Sankaranarayanan, and Phillip Isola · 2022
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Zero-shot out-of-distribution detection based on the pretrained model clip
Sepideh Esmaeilpour, Bing Liu, Eric Robertson, and Lei Shu · 2022
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Domain adaptation via prompt learning
Chunjiang Ge, Rui Huang, Mixue Xie, Zihang Lai, Shiji Song, Shuang Li, and Gao Huang · 2022
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Scaling out-of-distribution detection for real-world settings
Dan Hendrycks, Steven Basart, Mantas Mazeika, Mohammadreza Mostajabi, Jacob Steinhardt, and Dawn Song · 2022
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Visual prompt tuning
Menglin Jia, Luming Tang, Bor-Chun Chen, Claire Cardie, Serge Belongie, Bharath Hariharan, and Ser-Nam Lim · 2022
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Exploring the limits of out-of-distribution detection
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Mos: Towards scaling out-of-distribution detection for large semantic space
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On the importance of gradients for detecting distributional shifts in the wild
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Oodformer: Out-of-distribution detection transformer
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Prefix-tuning: Optimizing continuous prompts for generation
Xiang Lisa Li and Percy Liang · 2021
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Denseclip: Language-guided dense prediction with context-aware prompting
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Reclip: A strong zero-shot baseline for referring expression comprehension
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Dice: Leveraging sparsification for out-of-distribution detection
Yiyou Sun and Yixuan Li · 2022
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Open-set recognition: A good closed-set classifier is all you need
Sagar Vaze, Kai Han, Andrea Vedaldi, and Andrew Zisserman · 2022
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Vim: Out-of-distribution with virtual-logit matching
Haoqi Wang, Zhizhong Li, Litong Feng, and Wayne Zhang · 2022
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Openood: Benchmarking generalized out-of-distribution detection
Jingkang Yang, Pengyun Wang, Dejian Zou, Zitang Zhou, Kunyuan Ding, Wenxuan Peng, Haoqi Wang, Guangyao Chen, Bo Li, Yiyou Sun, Xuefeng Du, Kaiyang Zhou, Wayne Zhang, Dan Hendrycks, Yixuan Li, and Ziwei Liu · 2022
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Tip-adapter: Training-free clip-adapter for better vision-language modeling
Renrui Zhang, Rongyao Fang, Wei Zhang, Peng Gao, Kunchang Li, Jifeng Dai, Yu Qiao, and Hongsheng Li · 2022
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Zegot: Zero-shot segmentation through optimal transport of text prompts
Kwanyoung Kim, Yujin Oh, and Jong Chul Ye · 2023
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Non-parametric outlier synthesis
Leitian Tao, Xuefeng Du, Xiaojin Zhu, and Yixuan Li · 2023
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Openood v1. 5: Enhanced benchmark for out-of-distribution detection
Jingyang Zhang, Jingkang Yang, Pengyun Wang, Haoqi Wang, Yueqian Lin, Haoran Zhang, Yiyou Sun, Xuefeng Du, Kaiyang Zhou, Wayne Zhang, et al · 2023
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Zegclip: Towards adapting clip for zero-shot semantic segmentation
Ziqin Zhou, Bowen Zhang, Yinjie Lei, Lingqiao Liu, and Yifan Liu · 2023
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