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Envisioning Outlier Exposure by Large Language Models for
  Out-of-Distribution Detection

Envisioning Outlier Exposure by Large Language Models for Out-of-Distribution Detection

2 June 2024
Chentao Cao
Zhun Zhong
Zhanke Zhou
Yang Liu
Tongliang Liu
Bo Han
    OODD
ArXivPDFHTML

Papers citing "Envisioning Outlier Exposure by Large Language Models for Out-of-Distribution Detection"

14 / 14 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
Graph Synthetic Out-of-Distribution Exposure with Large Language Models
Graph Synthetic Out-of-Distribution Exposure with Large Language Models
Haoyan Xu
Zhengtao Yao
Ziyi Wang
Zhan Cheng
Xiyang Hu
Mengyuan Li
Yue Zhao
OODD
52
0
0
29 Apr 2025
GLIP-OOD: Zero-Shot Graph OOD Detection with Graph Foundation Model
GLIP-OOD: Zero-Shot Graph OOD Detection with Graph Foundation Model
Haoyan Xu
Zhengtao Yao
Xuzhi Zhang
Zhilin Wang
Langzhou He
Yushun Dong
Philip S. Yu
Mengyuan Li
Yue Zhao
OODD
VLM
69
0
0
29 Apr 2025
OT-DETECTOR: Delving into Optimal Transport for Zero-shot Out-of-Distribution Detection
OT-DETECTOR: Delving into Optimal Transport for Zero-shot Out-of-Distribution Detection
Yu Liu
Hao Tang
Hanwang Zhang
Jing Qin
ZeLin Li
OODD
64
0
0
09 Mar 2025
Reflexive Guidance: Improving OoDD in Vision-Language Models via Self-Guided Image-Adaptive Concept Generation
Reflexive Guidance: Improving OoDD in Vision-Language Models via Self-Guided Image-Adaptive Concept Generation
Seulbi Lee
J. Kim
Sangheum Hwang
LRM
130
0
0
19 Oct 2024
FOOGD: Federated Collaboration for Both Out-of-distribution
  Generalization and Detection
FOOGD: Federated Collaboration for Both Out-of-distribution Generalization and Detection
Xinting Liao
Weiming Liu
Pengyang Zhou
Fengyuan Yu
Jiahe Xu
Jun Wang
Wenjie Wang
Chaochao Chen
Xiaolin Zheng
FedML
OODD
46
2
0
15 Oct 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
Gradient-Regularized Out-of-Distribution Detection
Gradient-Regularized Out-of-Distribution Detection
Sina Sharifi
Taha Entesari
Bardia Safaei
Vishal M. Patel
Mahyar Fazlyab
OODD
34
5
0
18 Apr 2024
GroupViT: Semantic Segmentation Emerges from Text Supervision
GroupViT: Semantic Segmentation Emerges from Text Supervision
Jiarui Xu
Shalini De Mello
Sifei Liu
Wonmin Byeon
Thomas Breuel
Jan Kautz
Xinyu Wang
ViT
VLM
192
499
0
22 Feb 2022
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
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
313
3,708
0
11 Feb 2021
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