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LAPT: Label-driven Automated Prompt Tuning for OOD Detection with
  Vision-Language Models

LAPT: Label-driven Automated Prompt Tuning for OOD Detection with Vision-Language Models

12 July 2024
Yabin Zhang
Wenjie Zhu
Chenhang He
Lei Zhang
    VLM
ArXivPDFHTML

Papers citing "LAPT: Label-driven Automated Prompt Tuning for OOD Detection with Vision-Language Models"

20 / 20 papers shown
Title
Recent Advances in Out-of-Distribution Detection with CLIP-Like Models: A Survey
Recent Advances in Out-of-Distribution Detection with CLIP-Like Models: A Survey
Chaohua Li
Enhao Zhang
Chuanxing Geng
Songcan Chen
OODD
VLM
40
0
0
05 May 2025
AdaSCALE: Adaptive Scaling for OOD Detection
Sudarshan Regmi
OODD
54
0
0
11 Mar 2025
AdvDreamer Unveils: Are Vision-Language Models Truly Ready for Real-World 3D Variations?
AdvDreamer Unveils: Are Vision-Language Models Truly Ready for Real-World 3D Variations?
Shouwei Ruan
Hanqin Liu
Yao Huang
Xiaoqi Wang
Caixin Kang
Hang Su
Yinpeng Dong
Xingxing Wei
VGen
93
0
0
04 Dec 2024
Going Beyond Conventional OOD Detection
Sudarshan Regmi
OODD
58
1
0
16 Nov 2024
AdaNeg: Adaptive Negative Proxy Guided OOD Detection with
  Vision-Language Models
AdaNeg: Adaptive Negative Proxy Guided OOD Detection with Vision-Language Models
Yabin Zhang
L. Zhang
VLM
OODD
33
2
0
26 Oct 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
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
40
10
0
31 Jul 2024
Negative Label Guided OOD Detection with Pretrained Vision-Language
  Models
Negative Label Guided OOD Detection with Pretrained Vision-Language Models
Xue Jiang
Feng Liu
Zhengfeng Fang
Hong Chen
Tongliang Liu
Feng Zheng
Bo Han
VLM
55
28
0
29 Mar 2024
Likelihood-Aware Semantic Alignment for Full-Spectrum
  Out-of-Distribution Detection
Likelihood-Aware Semantic Alignment for Full-Spectrum Out-of-Distribution Detection
Fan Lu
Kai Zhu
Kecheng Zheng
Wei Zhai
Xuemiao Xu
OODD
155
4
0
04 Dec 2023
Scaling for Training Time and Post-hoc Out-of-distribution Detection
  Enhancement
Scaling for Training Time and Post-hoc Out-of-distribution Detection Enhancement
Kai Xu
Rongyu Chen
Gianni Franchi
Angela Yao
OODD
45
32
0
30 Sep 2023
Extremely Simple Activation Shaping for Out-of-Distribution Detection
Extremely Simple Activation Shaping for Out-of-Distribution Detection
Andrija Djurisic
Nebojsa Bozanic
Arjun Ashok
Rosanne Liu
OODD
169
150
0
20 Sep 2022
Mitigating Neural Network Overconfidence with Logit Normalization
Mitigating Neural Network Overconfidence with Logit Normalization
Hongxin Wei
Renchunzi Xie
Hao-Ran Cheng
Lei Feng
Bo An
Yixuan Li
OODD
163
266
0
19 May 2022
Tip-Adapter: Training-free CLIP-Adapter for Better Vision-Language
  Modeling
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
Hongsheng Li
VLM
192
385
0
06 Nov 2021
Generalized Out-of-Distribution Detection: A Survey
Generalized Out-of-Distribution Detection: A Survey
Jingkang Yang
Kaiyang Zhou
Yixuan Li
Ziwei Liu
185
879
0
21 Oct 2021
Open-Set Recognition: a Good Closed-Set Classifier is All You Need?
Open-Set Recognition: a Good Closed-Set Classifier is All You Need?
S. Vaze
Kai Han
Andrea Vedaldi
Andrew Zisserman
BDL
169
405
0
12 Oct 2021
On the Importance of Gradients for Detecting Distributional Shifts in
  the Wild
On the Importance of Gradients for Detecting Distributional Shifts in the Wild
Rui Huang
Andrew Geng
Yixuan Li
195
328
0
01 Oct 2021
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
Context-Aware Mixup for Domain Adaptive Semantic Segmentation
Context-Aware Mixup for Domain Adaptive Semantic Segmentation
Qianyu Zhou
Zhengyang Feng
Qiqi Gu
Jiangmiao Pang
Guangliang Cheng
Xuequan Lu
Jianping Shi
Lizhuang Ma
71
129
0
08 Aug 2021
Self-Adversarial Disentangling for Specific Domain Adaptation
Self-Adversarial Disentangling for Specific Domain Adaptation
Qianyu Zhou
Qiqi Gu
Jiangmiao Pang
Xuequan Lu
Lizhuang Ma
69
49
0
08 Aug 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
307
3,708
0
11 Feb 2021
1