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Open-Vocabulary Calibration for Fine-tuned CLIP
v1v2v3v4 (latest)

Open-Vocabulary Calibration for Fine-tuned CLIP

7 February 2024
Shuoyuan Wang
Jindong Wang
Guoqing Wang
Bob Zhang
Kaiyang Zhou
Hongxin Wei
    VLM
ArXiv (abs)PDFHTMLGithub (13★)

Papers citing "Open-Vocabulary Calibration for Fine-tuned CLIP"

23 / 23 papers shown
Title
Understanding and Mitigating Miscalibration in Prompt Tuning for Vision-Language Models
Understanding and Mitigating Miscalibration in Prompt Tuning for Vision-Language Models
Shuoyuan Wang
Yixuan Li
Hongxin Wei
VLM
120
2
0
03 Oct 2024
A Closer Look at the Robustness of Contrastive Language-Image
  Pre-Training (CLIP)
A Closer Look at the Robustness of Contrastive Language-Image Pre-Training (CLIP)
Weijie Tu
Weijian Deng
Tom Gedeon
UQCVVLM
46
35
0
12 Feb 2024
Towards Calibrated Robust Fine-Tuning of Vision-Language Models
Towards Calibrated Robust Fine-Tuning of Vision-Language Models
Changdae Oh
Hyesu Lim
Mijoo Kim
Dongyoon Han
Junhyeok Park
Euiseog Jeong
Alexander G. Hauptmann
Zhi-Qi Cheng
Kyungwoo Song
VLM
70
18
0
03 Nov 2023
Proximity-Informed Calibration for Deep Neural Networks
Proximity-Informed Calibration for Deep Neural Networks
Miao Xiong
Ailin Deng
Pang Wei Koh
Jiaying Wu
Shen Li
Jianqing Xu
Bryan Hooi
UQCV
151
15
0
07 Jun 2023
Enabling Calibration In The Zero-Shot Inference of Large Vision-Language
  Models
Enabling Calibration In The Zero-Shot Inference of Large Vision-Language Models
Will LeVine
Benjamin Pikus
P. Raj
Fernando Amat Gil
VLMUQCV
41
12
0
11 Mar 2023
I2MVFormer: Large Language Model Generated Multi-View Document
  Supervision for Zero-Shot Image Classification
I2MVFormer: Large Language Model Generated Multi-View Document Supervision for Zero-Shot Image Classification
Muhammad Ferjad Naeem
Muhammad Gul Zain Ali Khan
Yongqin Xian
Muhammad Zeshan Afzal
D. Stricker
Luc Van Gool
F. Tombari
VLM
65
56
0
05 Dec 2022
Sample-dependent Adaptive Temperature Scaling for Improved Calibration
Sample-dependent Adaptive Temperature Scaling for Improved Calibration
Thomas Joy
Francesco Pinto
Ser-Nam Lim
Philip Torr
P. Dokania
UQCV
68
34
0
13 Jul 2022
Robust Calibration with Multi-domain Temperature Scaling
Robust Calibration with Multi-domain Temperature Scaling
Yaodong Yu
Stephen Bates
Yi-An Ma
Michael I. Jordan
OODUQCV
73
35
0
06 Jun 2022
A Simple Approach to Improve Single-Model Deep Uncertainty via
  Distance-Awareness
A Simple Approach to Improve Single-Model Deep Uncertainty via Distance-Awareness
J. Liu
Shreyas Padhy
Jie Jessie Ren
Zi Lin
Yeming Wen
Ghassen Jerfel
Zachary Nado
Jasper Snoek
Dustin Tran
Balaji Lakshminarayanan
UQCVBDL
217
51
0
01 May 2022
Out-of-Distribution Detection with Deep Nearest Neighbors
Out-of-Distribution Detection with Deep Nearest Neighbors
Yiyou Sun
Yifei Ming
Xiaojin Zhu
Yixuan Li
OODD
200
529
0
13 Apr 2022
Conditional Prompt Learning for Vision-Language Models
Conditional Prompt Learning for Vision-Language Models
Kaiyang Zhou
Jingkang Yang
Chen Change Loy
Ziwei Liu
VLMCLIPVPVLM
141
1,354
0
10 Mar 2022
Scaling Up Vision-Language Pre-training for Image Captioning
Scaling Up Vision-Language Pre-training for Image Captioning
Xiaowei Hu
Zhe Gan
Jianfeng Wang
Zhengyuan Yang
Zicheng Liu
Yumao Lu
Lijuan Wang
MLLMVLM
137
250
0
24 Nov 2021
Learning to Prompt for Vision-Language Models
Learning to Prompt for Vision-Language Models
Kaiyang Zhou
Jingkang Yang
Chen Change Loy
Ziwei Liu
VPVLMCLIPVLM
502
2,409
0
02 Sep 2021
Revisiting the Calibration of Modern Neural Networks
Revisiting the Calibration of Modern Neural Networks
Matthias Minderer
Josip Djolonga
Rob Romijnders
F. Hubis
Xiaohua Zhai
N. Houlsby
Dustin Tran
Mario Lucic
UQCV
100
367
0
15 Jun 2021
Parameterized Temperature Scaling for Boosting the Expressive Power in
  Post-Hoc Uncertainty Calibration
Parameterized Temperature Scaling for Boosting the Expressive Power in Post-Hoc Uncertainty Calibration
Christian Tomani
Daniel Cremers
Florian Buettner
UQCV
52
36
0
24 Feb 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
VLMCLIP
456
3,893
0
11 Feb 2021
Mitigating Bias in Calibration Error Estimation
Mitigating Bias in Calibration Error Estimation
Rebecca Roelofs
Nicholas Cain
Jonathon Shlens
Michael C. Mozer
75
95
0
15 Dec 2020
Mix-n-Match: Ensemble and Compositional Methods for Uncertainty
  Calibration in Deep Learning
Mix-n-Match: Ensemble and Compositional Methods for Uncertainty Calibration in Deep Learning
Jize Zhang
B. Kailkhura
T. Y. Han
UQCV
87
227
0
16 Mar 2020
To Trust Or Not To Trust A Classifier
To Trust Or Not To Trust A Classifier
Heinrich Jiang
Been Kim
Melody Y. Guan
Maya R. Gupta
UQCV
179
473
0
30 May 2018
EuroSAT: A Novel Dataset and Deep Learning Benchmark for Land Use and
  Land Cover Classification
EuroSAT: A Novel Dataset and Deep Learning Benchmark for Land Use and Land Cover Classification
P. Helber
B. Bischke
Andreas Dengel
Damian Borth
152
1,828
0
31 Aug 2017
Describing Textures in the Wild
Describing Textures in the Wild
Mircea Cimpoi
Subhransu Maji
Iasonas Kokkinos
S. Mohamed
Andrea Vedaldi
3DV
141
2,686
0
14 Nov 2013
Fine-Grained Visual Classification of Aircraft
Fine-Grained Visual Classification of Aircraft
Subhransu Maji
Esa Rahtu
Arno Solin
Matthew Blaschko
Andrea Vedaldi
126
2,269
0
21 Jun 2013
UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild
UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild
K. Soomro
Amir Zamir
M. Shah
CLIPVGen
160
6,164
0
03 Dec 2012
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