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ID-like Prompt Learning for Few-Shot Out-of-Distribution Detection

ID-like Prompt Learning for Few-Shot Out-of-Distribution Detection

26 November 2023
Yichen Bai
Zongbo Han
Changqing Zhang
Bing Cao
Xiaoheng Jiang
Qinghua Hu
    OODD
ArXivPDFHTML

Papers citing "ID-like Prompt Learning for Few-Shot Out-of-Distribution Detection"

13 / 13 papers shown
Title
BackMix: Regularizing Open Set Recognition by Removing Underlying Fore-Background Priors
BackMix: Regularizing Open Set Recognition by Removing Underlying Fore-Background Priors
Yu Wang
Junxian Mu
Hongzhi Huang
Qilong Wang
Pengfei Zhu
Q. Hu
57
0
0
22 Mar 2025
Secure On-Device Video OOD Detection Without Backpropagation
Secure On-Device Video OOD Detection Without Backpropagation
Li Li
Peilin Cai
Yuxiao Zhou
Zhiyu Ni
Renjie Liang
You Qin
Yi Nian
Z. Tu
Xiyang Hu
Yue Zhao
OODD
FedML
68
2
0
08 Mar 2025
CADRef: Robust Out-of-Distribution Detection via Class-Aware Decoupled Relative Feature Leveraging
Zhiwei Ling
Yachen Chang
Hailiang Zhao
Xinkui Zhao
Kingsum Chow
Shuiguang Deng
OODD
63
0
0
01 Mar 2025
Going Beyond Conventional OOD Detection
Sudarshan Regmi
OODD
61
1
0
16 Nov 2024
Recent Advances in OOD Detection: Problems and Approaches
Recent Advances in OOD Detection: Problems and Approaches
Shuo Lu
YingSheng Wang
Lijun Sheng
Aihua Zheng
Lingxiao He
Jian Liang
OODD
68
3
0
18 Sep 2024
Spurious Feature Eraser: Stabilizing Test-Time Adaptation for Vision-Language Foundation Model
Spurious Feature Eraser: Stabilizing Test-Time Adaptation for Vision-Language Foundation Model
Huan Ma
Yan Zhu
Changqing Zhang
Peilin Zhao
Baoyuan Wu
Long-Kai Huang
Qinghua Hu
Bing Wu
VLM
69
1
0
01 Mar 2024
Test-Time Prompt Tuning for Zero-Shot Generalization in Vision-Language
  Models
Test-Time Prompt Tuning for Zero-Shot Generalization in Vision-Language Models
Manli Shu
Weili Nie
De-An Huang
Zhiding Yu
Tom Goldstein
Anima Anandkumar
Chaowei Xiao
VLM
VPVLM
186
286
0
15 Sep 2022
VOS: Learning What You Don't Know by Virtual Outlier Synthesis
VOS: Learning What You Don't Know by Virtual Outlier Synthesis
Xuefeng Du
Zhaoning Wang
Mu Cai
Yixuan Li
OODD
178
304
0
02 Feb 2022
Learning to Prompt for Vision-Language Models
Learning to Prompt for Vision-Language Models
Kaiyang Zhou
Jingkang Yang
Chen Change Loy
Ziwei Liu
VPVLM
CLIP
VLM
348
2,271
0
02 Sep 2021
The Power of Scale for Parameter-Efficient Prompt Tuning
The Power of Scale for Parameter-Efficient Prompt Tuning
Brian Lester
Rami Al-Rfou
Noah Constant
VPVLM
280
3,858
0
18 Apr 2021
Scaling Up Visual and Vision-Language Representation Learning With Noisy
  Text Supervision
Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision
Chao Jia
Yinfei Yang
Ye Xia
Yi-Ting Chen
Zarana Parekh
Hieu H. Pham
Quoc V. Le
Yun-hsuan Sung
Zhen Li
Tom Duerig
VLM
CLIP
322
3,708
0
11 Feb 2021
Language Models as Knowledge Bases?
Language Models as Knowledge Bases?
Fabio Petroni
Tim Rocktaschel
Patrick Lewis
A. Bakhtin
Yuxiang Wu
Alexander H. Miller
Sebastian Riedel
KELM
AI4MH
419
2,588
0
03 Sep 2019
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
276
5,661
0
05 Dec 2016
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