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2410.08611
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Conjugated Semantic Pool Improves OOD Detection with Pre-trained Vision-Language Models
11 October 2024
Mengyuan Chen
Junyu Gao
Changsheng Xu
VLM
OODD
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Papers citing
"Conjugated Semantic Pool Improves OOD Detection with Pre-trained Vision-Language Models"
28 / 28 papers shown
Title
Revisiting Essential and Nonessential Settings of Evidential Deep Learning
Mengyuan Chen
Junyu Gao
Changsheng Xu
EDL
100
1
0
01 Oct 2024
Delving into Out-of-Distribution Detection with Vision-Language Representations
Yifei Ming
Ziyan Cai
Jiuxiang Gu
Yiyou Sun
W. Li
Yixuan Li
VLM
OODD
110
173
0
24 Nov 2022
EVA: Exploring the Limits of Masked Visual Representation Learning at Scale
Yuxin Fang
Wen Wang
Binhui Xie
Quan-Sen Sun
Ledell Yu Wu
Xinggang Wang
Tiejun Huang
Xinlong Wang
Yue Cao
VLM
CLIP
190
723
0
14 Nov 2022
Is Out-of-Distribution Detection Learnable?
Zhen Fang
Yixuan Li
Jie Lu
Jiahua Dong
Bo Han
Feng Liu
OODD
118
132
0
26 Oct 2022
Out-of-Distribution Detection with Semantic Mismatch under Masking
Yijun Yang
Ruiyuan Gao
Qiang Xu
OODD
75
28
0
31 Jul 2022
Out-of-Distribution Detection with Deep Nearest Neighbors
Yiyou Sun
Yifei Ming
Xiaojin Zhu
Yixuan Li
OODD
206
529
0
13 Apr 2022
Igeood: An Information Geometry Approach to Out-of-Distribution Detection
Eduardo Dadalto Camara Gomes
F. Alberge
Pierre Duhamel
Pablo Piantanida
OODD
170
29
0
15 Mar 2022
Conditional Prompt Learning for Vision-Language Models
Kaiyang Zhou
Jingkang Yang
Chen Change Loy
Ziwei Liu
VLM
CLIP
VPVLM
141
1,356
0
10 Mar 2022
Provable Guarantees for Understanding Out-of-distribution Detection
Peyman Morteza
Yixuan Li
OODD
102
94
0
01 Dec 2021
Learning to Prompt for Vision-Language Models
Kaiyang Zhou
Jingkang Yang
Chen Change Loy
Ziwei Liu
VPVLM
CLIP
VLM
505
2,409
0
02 Sep 2021
Understanding Failures in Out-of-Distribution Detection with Deep Generative Models
Lily H. Zhang
Mark Goldstein
Rajesh Ranganath
OODD
173
106
0
14 Jul 2021
Learning Transferable Visual Models From Natural Language Supervision
Alec Radford
Jong Wook Kim
Chris Hallacy
Aditya A. Ramesh
Gabriel Goh
...
Amanda Askell
Pamela Mishkin
Jack Clark
Gretchen Krueger
Ilya Sutskever
CLIP
VLM
975
29,810
0
26 Feb 2021
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
459
3,893
0
11 Feb 2021
Energy-based Out-of-distribution Detection
Weitang Liu
Xiaoyun Wang
John Douglas Owens
Yixuan Li
OODD
271
1,371
0
08 Oct 2020
A Boundary Based Out-of-Distribution Classifier for Generalized Zero-Shot Learning
Xingyu Chen
Xuguang Lan
F. Sun
Nanning Zheng
OODD
72
77
0
09 Aug 2020
The Many Faces of Robustness: A Critical Analysis of Out-of-Distribution Generalization
Dan Hendrycks
Steven Basart
Norman Mu
Saurav Kadavath
Frank Wang
...
Samyak Parajuli
Mike Guo
Basel Alomair
Jacob Steinhardt
Justin Gilmer
OOD
354
1,754
0
29 Jun 2020
Simple and Principled Uncertainty Estimation with Deterministic Deep Learning via Distance Awareness
Jeremiah Zhe Liu
Zi Lin
Shreyas Padhy
Dustin Tran
Tania Bedrax-Weiss
Balaji Lakshminarayanan
UQCV
BDL
229
451
0
17 Jun 2020
Likelihood Regret: An Out-of-Distribution Detection Score For Variational Auto-encoder
Zhisheng Xiao
Qing Yan
Y. Amit
OODD
151
195
0
06 Mar 2020
Generalized ODIN: Detecting Out-of-distribution Image without Learning from Out-of-distribution Data
Yen-Chang Hsu
Yilin Shen
Hongxia Jin
Z. Kira
OODD
105
577
0
26 Feb 2020
Distributionally Robust Neural Networks for Group Shifts: On the Importance of Regularization for Worst-Case Generalization
Shiori Sagawa
Pang Wei Koh
Tatsunori B. Hashimoto
Percy Liang
OOD
108
1,248
0
20 Nov 2019
Input complexity and out-of-distribution detection with likelihood-based generative models
Joan Serrà
David Álvarez
Vicencc Gómez
Olga Slizovskaia
José F. Núñez
Jordi Luque
OODD
146
277
0
25 Sep 2019
Natural Adversarial Examples
Dan Hendrycks
Kevin Zhao
Steven Basart
Jacob Steinhardt
Basel Alomair
OODD
223
1,482
0
16 Jul 2019
Likelihood Ratios for Out-of-Distribution Detection
Jie Jessie Ren
Peter J. Liu
Emily Fertig
Jasper Snoek
Ryan Poplin
M. DePristo
Joshua V. Dillon
Balaji Lakshminarayanan
OODD
207
726
0
07 Jun 2019
Learning Robust Global Representations by Penalizing Local Predictive Power
Haohan Wang
Songwei Ge
Eric Xing
Zachary Chase Lipton
OOD
122
966
0
29 May 2019
Do ImageNet Classifiers Generalize to ImageNet?
Benjamin Recht
Rebecca Roelofs
Ludwig Schmidt
Vaishaal Shankar
OOD
SSeg
VLM
121
1,726
0
13 Feb 2019
A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks
Kimin Lee
Kibok Lee
Honglak Lee
Jinwoo Shin
OODD
192
2,062
0
10 Jul 2018
A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks
Dan Hendrycks
Kevin Gimpel
UQCV
171
3,472
0
07 Oct 2016
Describing Textures in the Wild
Mircea Cimpoi
Subhransu Maji
Iasonas Kokkinos
S. Mohamed
Andrea Vedaldi
3DV
146
2,689
0
14 Nov 2013
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