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What If the Input is Expanded in OOD Detection?
v1v2 (latest)

What If the Input is Expanded in OOD Detection?

Neural Information Processing Systems (NeurIPS), 2024
24 October 2024
Boxuan Zhang
Jianing Zhu
Zengmao Wang
Tongliang Liu
Bo Du
Bo Han
    AAMLOODD
ArXiv (abs)PDFHTMLGithub (8★)

Papers citing "What If the Input is Expanded in OOD Detection?"

4 / 4 papers shown
Title
ANTS: Adaptive Negative Textual Space Shaping for OOD Detection via Test-Time MLLM Understanding and Reasoning
ANTS: Adaptive Negative Textual Space Shaping for OOD Detection via Test-Time MLLM Understanding and Reasoning
Wenjie Zhu
Yabin Zhang
Jianfeng Dong
Wenjun Zeng
Lei Zhang
242
0
0
04 Sep 2025
Spurious-Aware Prototype Refinement for Reliable Out-of-Distribution Detection
Spurious-Aware Prototype Refinement for Reliable Out-of-Distribution Detection
Reihaneh Zohrabi
Hosein Hasani
M. Baghshah
Anna Rohrbach
Marcus Rohrbach
M. Rohban
OODD
236
1
0
30 Jun 2025
Demystifying CLIP Data
Demystifying CLIP DataInternational Conference on Learning Representations (ICLR), 2023
Hu Xu
Saining Xie
Xiaoqing Ellen Tan
Po-Yao (Bernie) Huang
Russell Howes
Vasu Sharma
Shang-Wen Li
Gargi Ghosh
Luke Zettlemoyer
Christoph Feichtenhofer
VLMCLIP
459
190
0
31 Dec 2024
Generalized Out-of-Distribution Detection and Beyond in Vision Language Model Era: A Survey
Generalized Out-of-Distribution Detection and Beyond in Vision Language Model Era: A Survey
Atsuyuki Miyai
Jingkang Yang
Jingyang Zhang
Yifei Ming
Sisir Dhakal
...
Yixuan Li
Hai "Helen" Li
Ziwei Liu
Toshihiko Yamasaki
Kiyoharu Aizawa
287
27
0
31 Jul 2024
1