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CLIPood: Generalizing CLIP to Out-of-Distributions

CLIPood: Generalizing CLIP to Out-of-Distributions

2 February 2023
Yang Shu
Xingzhuo Guo
Jialong Wu
Ximei Wang
Jianmin Wang
Mingsheng Long
    OODD
    VLM
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Papers citing "CLIPood: Generalizing CLIP to Out-of-Distributions"

50 / 62 papers shown
Title
CLIP-Powered Domain Generalization and Domain Adaptation: A Comprehensive Survey
CLIP-Powered Domain Generalization and Domain Adaptation: A Comprehensive Survey
Jindong Li
Y. Li
Yali Fu
Jiahong Liu
Yixin Liu
Menglin Yang
Irwin King
VLM
36
0
0
19 Apr 2025
OSLoPrompt: Bridging Low-Supervision Challenges and Open-Set Domain Generalization in CLIP
OSLoPrompt: Bridging Low-Supervision Challenges and Open-Set Domain Generalization in CLIP
M. Cui
Divyam Gupta
Mainak Singha
Sai Bhargav Rongali
Ankit Jha
Muhammad Haris Khan
Biplab Banerjee
VLM
53
1
0
20 Mar 2025
Enhancing Visual Representation with Textual Semantics: Textual Semantics-Powered Prototypes for Heterogeneous Federated Learning
Enhancing Visual Representation with Textual Semantics: Textual Semantics-Powered Prototypes for Heterogeneous Federated Learning
Xinghao Wu
Jianwei Niu
Xuefeng Liu
Guogang Zhu
Jiayuan Zhang
Shaojie Tang
53
0
0
16 Mar 2025
Data-Efficient Generalization for Zero-shot Composed Image Retrieval
Zining Chen
Zhicheng Zhao
Fei Su
Xiaoqin Zhang
Shijian Lu
VLM
35
0
0
07 Mar 2025
Generalizable Prompt Learning of CLIP: A Brief Overview
Generalizable Prompt Learning of CLIP: A Brief Overview
Fangming Cui
Yonggang Zhang
Xuan Wang
Xule Wang
Liang Xiao
VPVLM
VLM
63
0
0
03 Mar 2025
Learning to Generalize without Bias for Open-Vocabulary Action Recognition
Learning to Generalize without Bias for Open-Vocabulary Action Recognition
Yating Yu
Congqi Cao
Yifan Zhang
Yanning Zhang
VLM
41
0
0
27 Feb 2025
Attention Head Purification: A New Perspective to Harness CLIP for
  Domain Generalization
Attention Head Purification: A New Perspective to Harness CLIP for Domain Generalization
Yingfan Wang
Guoliang Kang
VLM
74
0
0
10 Dec 2024
Dual Risk Minimization: Towards Next-Level Robustness in Fine-tuning
  Zero-Shot Models
Dual Risk Minimization: Towards Next-Level Robustness in Fine-tuning Zero-Shot Models
Kaican Li
Weiyan Xie
Yongxiang Huang
Didan Deng
Lanqing Hong
Z. Li
Ricardo Silva
N. Zhang
52
0
0
29 Nov 2024
FodFoM: Fake Outlier Data by Foundation Models Creates Stronger Visual
  Out-of-Distribution Detector
FodFoM: Fake Outlier Data by Foundation Models Creates Stronger Visual Out-of-Distribution Detector
Jiankang Chen
Ling Deng
Zhiyong Gan
Wei-Shi Zheng
Ruixuan Wang
OODD
74
0
0
22 Nov 2024
UMFC: Unsupervised Multi-Domain Feature Calibration for Vision-Language
  Models
UMFC: Unsupervised Multi-Domain Feature Calibration for Vision-Language Models
Jiachen Liang
Ruibing Hou
Minyang Hu
Hong Chang
Shiguang Shan
Xilin Chen
VLM
31
1
0
11 Nov 2024
Aggregate-and-Adapt Natural Language Prompts for Downstream
  Generalization of CLIP
Aggregate-and-Adapt Natural Language Prompts for Downstream Generalization of CLIP
Chen Huang
Skyler Seto
Samira Abnar
David Grangier
Navdeep Jaitly
J. Susskind
VLM
36
0
0
31 Oct 2024
Boosting Open-Vocabulary Object Detection by Handling Background Samples
Boosting Open-Vocabulary Object Detection by Handling Background Samples
Ruizhe Zeng
Lu Zhang
Xu Yang
Zhiyong Liu
VLM
ObjD
18
0
0
11 Oct 2024
ETA: Evaluating Then Aligning Safety of Vision Language Models at Inference Time
ETA: Evaluating Then Aligning Safety of Vision Language Models at Inference Time
Yi Ding
Bolian Li
Ruqi Zhang
MLLM
58
4
0
09 Oct 2024
QT-DoG: Quantization-aware Training for Domain Generalization
QT-DoG: Quantization-aware Training for Domain Generalization
Saqib Javed
Hieu Le
Mathieu Salzmann
OOD
MQ
18
1
0
08 Oct 2024
Vision-Language Models are Strong Noisy Label Detectors
Vision-Language Models are Strong Noisy Label Detectors
Tong Wei
H. Li
Chun-Shu Li
Jiang-Xin Shi
Yu-Feng Li
Min-Ling Zhang
VLM
11
2
0
29 Sep 2024
LARE: Latent Augmentation using Regional Embedding with Vision-Language
  Model
LARE: Latent Augmentation using Regional Embedding with Vision-Language Model
Kosuke Sakurai
Tatsuya Ishii
Ryotaro Shimizu
Linxin Song
Masayuki Goto
VLM
19
0
0
19 Sep 2024
Minimizing Embedding Distortion for Robust Out-of-Distribution
  Performance
Minimizing Embedding Distortion for Robust Out-of-Distribution Performance
Tom Shaked
Yuval Goldman
Oran Shayer
OODD
16
0
0
11 Sep 2024
Text-Guided Mixup Towards Long-Tailed Image Categorization
Text-Guided Mixup Towards Long-Tailed Image Categorization
Richard Franklin
Jiawei Yao
Deyang Zhong
Qi Qian
Juhua Hu
VLM
19
0
0
05 Sep 2024
Adapting Vision-Language Models to Open Classes via Test-Time Prompt
  Tuning
Adapting Vision-Language Models to Open Classes via Test-Time Prompt Tuning
Zhengqing Gao
Xiang Ao
Xu-Yao Zhang
Cheng-Lin Liu
VLM
VPVLM
24
0
0
29 Aug 2024
Robust Domain Generalization for Multi-modal Object Recognition
Robust Domain Generalization for Multi-modal Object Recognition
Yuxin Qiao
Keqin Li
Junhong Lin
Rong Wei
Chufeng Jiang
Yang Luo
Haoyu Yang
VLM
24
24
0
11 Aug 2024
Efficient and Versatile Robust Fine-Tuning of Zero-shot Models
Efficient and Versatile Robust Fine-Tuning of Zero-shot Models
Sungyeon Kim
Boseung Jeong
Donghyun Kim
Suha Kwak
VLM
18
2
0
11 Aug 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 Li
Ziwei Liu
Toshihiko Yamasaki
Kiyoharu Aizawa
28
8
0
31 Jul 2024
Craft: Cross-modal Aligned Features Improve Robustness of Prompt Tuning
Craft: Cross-modal Aligned Features Improve Robustness of Prompt Tuning
Jingchen Sun
Rohan Sharma
Vishnu Suresh Lokhande
Changyou Chen
25
0
0
22 Jul 2024
Learn to Preserve and Diversify: Parameter-Efficient Group with
  Orthogonal Regularization for Domain Generalization
Learn to Preserve and Diversify: Parameter-Efficient Group with Orthogonal Regularization for Domain Generalization
Jiajun Hu
Jian Zhang
Lei Qi
Yinghuan Shi
Yang Gao
OOD
25
4
0
21 Jul 2024
HGL: Hierarchical Geometry Learning for Test-time Adaptation in 3D Point
  Cloud Segmentation
HGL: Hierarchical Geometry Learning for Test-time Adaptation in 3D Point Cloud Segmentation
Tianpei Zou
Sanqing Qu
Zhijun Li
Alois C. Knoll
Lianghua He
Guang Chen
Changjun Jiang
3DPC
24
1
0
17 Jul 2024
Explore the Potential of CLIP for Training-Free Open Vocabulary Semantic
  Segmentation
Explore the Potential of CLIP for Training-Free Open Vocabulary Semantic Segmentation
Tong Shao
Zhuotao Tian
Hang Zhao
Jingyong Su
VLM
26
14
0
11 Jul 2024
Fully Fine-tuned CLIP Models are Efficient Few-Shot Learners
Fully Fine-tuned CLIP Models are Efficient Few-Shot Learners
Mushui Liu
Bozheng Li
Yunlong Yu
VLM
CLIP
19
0
0
04 Jul 2024
SAFT: Towards Out-of-Distribution Generalization in Fine-Tuning
SAFT: Towards Out-of-Distribution Generalization in Fine-Tuning
Bac Nguyen
Stefan Uhlich
Fabien Cardinaux
Lukas Mauch
Marzieh Edraki
Aaron Courville
OODD
CLL
VLM
39
3
0
03 Jul 2024
GalLoP: Learning Global and Local Prompts for Vision-Language Models
GalLoP: Learning Global and Local Prompts for Vision-Language Models
Marc Lafon
Elias Ramzi
Clément Rambour
Nicolas Audebert
Nicolas Thome
VLM
21
7
0
01 Jul 2024
PathGen-1.6M: 1.6 Million Pathology Image-text Pairs Generation through
  Multi-agent Collaboration
PathGen-1.6M: 1.6 Million Pathology Image-text Pairs Generation through Multi-agent Collaboration
Yuxuan Sun
Yunlong Zhang
Yixuan Si
Chenglu Zhu
Zhongyi Shui
Kai Zhang
Jingxiong Li
Xingheng Lyu
Tao Lin
Lin Yang
LM&MA
VLM
MedIm
23
10
0
28 Jun 2024
Unveiling the Unknown: Conditional Evidence Decoupling for Unknown
  Rejection
Unveiling the Unknown: Conditional Evidence Decoupling for Unknown Rejection
Zhaowei Wu
Binyi Su
Hua Zhang
Zhong Zhou
EDL
37
0
0
26 Jun 2024
Domain-Inspired Sharpness-Aware Minimization Under Domain Shifts
Domain-Inspired Sharpness-Aware Minimization Under Domain Shifts
Ruipeng Zhang
Ziqing Fan
Jiangchao Yao
Ya-Qin Zhang
Yanfeng Wang
28
7
0
29 May 2024
Learning Invariant Causal Mechanism from Vision-Language Models
Learning Invariant Causal Mechanism from Vision-Language Models
Zeen Song
Siyu Zhao
Xingyu Zhang
Jiangmeng Li
Changwen Zheng
Wenwen Qiang
CML
BDL
VLM
22
0
0
24 May 2024
CLIPScope: Enhancing Zero-Shot OOD Detection with Bayesian Scoring
CLIPScope: Enhancing Zero-Shot OOD Detection with Bayesian Scoring
Hao Fu
Naman Patel
P. Krishnamurthy
Farshad Khorrami
OODD
26
4
0
23 May 2024
Adapting Large Multimodal Models to Distribution Shifts: The Role of
  In-Context Learning
Adapting Large Multimodal Models to Distribution Shifts: The Role of In-Context Learning
Guanglin Zhou
Zhongyi Han
Shiming Chen
Biwei Huang
Liming Zhu
Salman Khan
Xin Gao
Lina Yao
VLM
31
2
0
20 May 2024
Adapting to Distribution Shift by Visual Domain Prompt Generation
Adapting to Distribution Shift by Visual Domain Prompt Generation
Zhixiang Chi
Li Gu
Tao Zhong
Huan Liu
Yuanhao Yu
Konstantinos N Plataniotis
Yang Wang
VLM
OOD
18
4
0
05 May 2024
Transitive Vision-Language Prompt Learning for Domain Generalization
Transitive Vision-Language Prompt Learning for Domain Generalization
Liyuan Wang
Yan Jin
Zhen Chen
Jinlin Wu
Mengke Li
Yang Lu
Hanzi Wang
VLM
VPVLM
LRM
39
0
0
29 Apr 2024
PracticalDG: Perturbation Distillation on Vision-Language Models for
  Hybrid Domain Generalization
PracticalDG: Perturbation Distillation on Vision-Language Models for Hybrid Domain Generalization
Zining Chen
Weiqiu Wang
Zhicheng Zhao
Fei Su
Aidong Men
Hongying Meng
VLM
25
7
0
13 Apr 2024
CLIP-driven Outliers Synthesis for few-shot OOD detection
CLIP-driven Outliers Synthesis for few-shot OOD detection
Hao Sun
Rundong He
Zhongyi Han
Zhicong Lin
Yongshun Gong
Yilong Yin
OODD
27
5
0
30 Mar 2024
DiPrompT: Disentangled Prompt Tuning for Multiple Latent Domain
  Generalization in Federated Learning
DiPrompT: Disentangled Prompt Tuning for Multiple Latent Domain Generalization in Federated Learning
Sikai Bai
Jiewei Zhang
Shuaicheng Li
Song Guo
Jingcai Guo
Jun Hou
Tao Han
Xiaocheng Lu
FedML
21
14
0
11 Mar 2024
In-context Prompt Learning for Test-time Vision Recognition with Frozen
  Vision-language Model
In-context Prompt Learning for Test-time Vision Recognition with Frozen Vision-language Model
Junhui Yin
Xinyu Zhang
Lin Wu
Xianghua Xie
Xiaojie Wang
VPVLM
VLM
MLLM
19
2
0
10 Mar 2024
Beyond Finite Data: Towards Data-free Out-of-distribution Generalization
  via Extrapolation
Beyond Finite Data: Towards Data-free Out-of-distribution Generalization via Extrapolation
Yijiang Li
Sucheng Ren
Weipeng Deng
Yuzhi Xu
Ying Gao
Edith Ngai
Haohan Wang
OOD
27
0
0
08 Mar 2024
Multimodal Unsupervised Domain Generalization by Retrieving Across the
  Modality Gap
Multimodal Unsupervised Domain Generalization by Retrieving Across the Modality Gap
Christopher Liao
Christian So
Theodoros Tsiligkaridis
Brian Kulis
15
0
0
06 Feb 2024
Overcoming the Pitfalls of Vision-Language Model Finetuning for OOD
  Generalization
Overcoming the Pitfalls of Vision-Language Model Finetuning for OOD Generalization
Yuhang Zang
Hanlin Goh
Josh Susskind
Chen Huang
VLM
24
12
0
29 Jan 2024
LanDA: Language-Guided Multi-Source Domain Adaptation
LanDA: Language-Guided Multi-Source Domain Adaptation
Zhenbin Wang
Lei Zhang
Lituan Wang
Minjuan Zhu
23
10
0
25 Jan 2024
VLLaVO: Mitigating Visual Gap through LLMs
VLLaVO: Mitigating Visual Gap through LLMs
Shuhao Chen
Yulong Zhang
Weisen Jiang
Jiangang Lu
Yu Zhang
VLM
29
2
0
06 Jan 2024
A Simple Recipe for Language-guided Domain Generalized Segmentation
A Simple Recipe for Language-guided Domain Generalized Segmentation
Mohammad Fahes
Tuan-Hung Vu
Andrei Bursuc
Patrick Pérez
Raoul de Charette
VLM
8
14
0
29 Nov 2023
Descriptor and Word Soups: Overcoming the Parameter Efficiency Accuracy
  Tradeoff for Out-of-Distribution Few-shot Learning
Descriptor and Word Soups: Overcoming the Parameter Efficiency Accuracy Tradeoff for Out-of-Distribution Few-shot Learning
Christopher Liao
Theodoros Tsiligkaridis
Brian Kulis
OODD
25
5
0
21 Nov 2023
Robust Fine-Tuning of Vision-Language Models for Domain Generalization
Robust Fine-Tuning of Vision-Language Models for Domain Generalization
Kevin Vogt-Lowell
Noah Lee
Theodoros Tsiligkaridis
Marc Vaillant
VLM
18
4
0
03 Nov 2023
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
10
13
0
03 Nov 2023
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