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NICO++: Towards Better Benchmarking for Domain Generalization

Computer Vision and Pattern Recognition (CVPR), 2022

17 April 2022

Peng Cui

Papers citing "NICO++: Towards Better Benchmarking for Domain Generalization"

50 / 67 papers shown

Title
ODP-Bench: Benchmarking Out-of-Distribution Performance Prediction Han Yu Kehan Li Dongbai Li Yue He Xingxuan Zhang Peng Cui OODD 338 2 0 31 Oct 2025
ConceptScope: Characterizing Dataset Bias via Disentangled Visual Concepts Jinho Choi Hyesu Lim Steffen Schneider Jaegul Choo 132 0 0 30 Oct 2025
Instance-Level Composed Image Retrieval Bill Psomas George Retsinas Nikos Efthymiadis P. Filntisis Yannis Avrithis Petros Maragos Ondřej Chum Giorgos Tolias 108 1 0 29 Oct 2025
Handling Out-of-Distribution Data: A SurveyIEEE Transactions on Knowledge and Data Engineering (TKDE), 2025 L. Tamang Mohamed Reda Bouadjenek Richard Dazeley S. Aryal OOD OODD 274 4 0 25 Jul 2025
The Impact of Coreset Selection on Spurious Correlations and Group Robustness Amaya Dharmasiri William Yang Polina Kirichenko Lydia Liu Olga Russakovsky 120 1 0 15 Jul 2025
General and Estimable Learning Bound Unifying Covariate and Concept Shifts Hongbo Chen Li Charlie Xia OOD 172 0 0 15 Jun 2025
Data Heterogeneity Modeling for Trustworthy Machine Learning Tianyu Wang Peng Cui 217 1 0 01 Jun 2025
Diverse Prototypical Ensembles Improve Robustness to Subpopulation Shift Minh-Son To Paul F RWilson Viet Nguyen Mohamed Harmanani Michael Cooper Fahimeh Fooladgar Purang Abolmaesumi Parvin Mousavi Fahad Razak 193 0 0 29 May 2025
CLIP-Powered Domain Generalization and Domain Adaptation: A Comprehensive Survey Jindong Li Yongqian Li Yali Fu Jiahong Liu Yixin Liu Menglin Yang Irwin King VLM 288 2 0 19 Apr 2025
COUNTS: Benchmarking Object Detectors and Multimodal Large Language Models under Distribution ShiftsComputer Vision and Pattern Recognition (CVPR), 2025 Jiansheng Li Xingxuan Zhang Hao Zou Yige Guo Renzhe Xu Yilong Liu Chuzhao Zhu Yue He Peng Cui VLM 265 1 0 14 Apr 2025
One-Shot Federated Learning with Classifier-Free Diffusion Models Obaidullah Zaland Shutong Jin Florian T. Pokorny Monowar Bhuyan 190 6 0 12 Feb 2025
MegaCOIN: Enhancing Medium-Grained Color Perception for Vision-Language Models Ming-Chang Chiu Shicheng Wen Pin-Yu Chen Xuezhe Ma 259 1 0 05 Dec 2024
Composed Image Retrieval for Training-Free Domain ConversionIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2024 Nikos Efthymiadis Bill Psomas Zakaria Laskar Konstantinos Karantzalos Yannis Avrithis Ondřej Chum Giorgos Tolias 296 3 0 04 Dec 2024
BelHouse3D: A Benchmark Dataset for Assessing Occlusion Robustness in 3D Point Cloud Semantic Segmentation Umamaheswaran Raman Kumar A. Fayjie Jurgen Hannaert Patrick Vandewalle 3DV 3DPC 277 1 0 20 Nov 2024
WASP: A Weight-Space Approach to Detecting Learned Spuriousness Cristian Daniel Păduraru Antonio Bărbălău Radu Filipescu Andrei Liviu Nicolicioiu Elena Burceanu 271 0 0 24 Oct 2024
AdaShadow: Responsive Test-time Model Adaptation in Non-stationary Mobile EnvironmentsACM International Conference on Embedded Networked Sensor Systems (SenSys), 2024 Cheng Fang Sicong Liu Zimu Zhou Bin Guo Jiaqi Tang Ke Ma Zhiwen Yu TTA 167 5 0 10 Oct 2024
Compositional Risk Minimization Divyat Mahajan Mohammad Pezeshki Charles Arnal Alexia Jolicoeur-Martineau Kartik Ahuja Pascal Vincent 408 9 0 08 Oct 2024
Crafting Distribution Shifts for Validation and Training in Single Source Domain GeneralizationIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2024 Nikos Efthymiadis Giorgos Tolias Ondřej Chum OOD 239 3 0 29 Sep 2024
Control+Shift: Generating Controllable Distribution Shifts Roy Friedman Rhea Chowers 195 0 0 12 Sep 2024
SOOD-ImageNet: a Large-Scale Dataset for Semantic Out-Of-Distribution Image Classification and Semantic Segmentation Alberto Bacchin Davide Allegro Stefano Ghidoni Emanuele Menegatti 178 1 0 02 Sep 2024
Fairness and Bias Mitigation in Computer Vision: A Survey Sepehr Dehdashtian Ruozhen He Yi Li Guha Balakrishnan Nuno Vasconcelos Vicente Ordonez Vishnu Boddeti 337 11 0 05 Aug 2024
FedDEO: Description-Enhanced One-Shot Federated Learning with Diffusion ModelsACM Multimedia (MM), 2024 Mingzhao Yang Shangchao Su Bin Li Xiangyang Xue 184 12 0 29 Jul 2024
Comprehensive Attribution: Inherently Explainable Vision Model with Feature DetectorEuropean Conference on Computer Vision (ECCV), 2024 Xianren Zhang Dongwon Lee Suhang Wang VLM FAtt 213 4 0 27 Jul 2024
Disentangling Masked Autoencoders for Unsupervised Domain Generalization An Zhang Han Wang Xiang Wang Tat-Seng Chua 186 2 0 10 Jul 2024
SLIM: Spuriousness Mitigation with Minimal Human Annotations Xiwei Xuan Ziquan Deng Hsuan-Tien Lin Kwan-Liu Ma 171 8 0 08 Jul 2024
ViG-Bias: Visually Grounded Bias Discovery and Mitigation Badr-Eddine Marani Mohamed Hanini Nihitha Malayarukil Stergios Christodoulidis Maria Vakalopoulou Enzo Ferrante 249 1 0 02 Jul 2024
Grounding Stylistic Domain Generalization with Quantitative Domain Shift Measures and Synthetic Scene Images Yiran Luo Joshua Forster Feinglass Tejas Gokhale Kuan-Cheng Lee Chitta Baral Yezhou Yang 166 4 0 24 May 2024
LLM as Dataset Analyst: Subpopulation Structure Discovery with Large Language ModelEuropean Conference on Computer Vision (ECCV), 2024 Yulin Luo Ruichuan An Bocheng Zou Yiming Tang Jiaming Liu Shanghang Zhang 277 41 0 03 May 2024
A robust assessment for invariant representations Wenlu Tang Zicheng Liu OOD 202 0 0 07 Apr 2024
DPStyler: Dynamic PromptStyler for Source-Free Domain Generalization Yunlong Tang Yuxuan Wan Lei Qi Xin Geng VLM 233 10 0 25 Mar 2024
Just Say the Name: Online Continual Learning with Category Names Only via Data Generation Minhyuk Seo Diganta Misra Seongwon Cho Minjae Lee Jonghyun Choi CLL 328 12 0 16 Mar 2024
DomainVerse: A Benchmark Towards Real-World Distribution Shifts For Tuning-Free Adaptive Domain Generalization Feng Hou Jin Yuan Ying Yang Yang Liu Yang Zhang Cheng Zhong Peng Wang Jianping Fan Yong Rui Zhiqiang He VLM 177 2 0 05 Mar 2024
A Survey on Evaluation of Out-of-Distribution Generalization Han Yu Tianyu Wang Xingxuan Zhang Jiayun Wu Peng Cui OOD 285 18 0 04 Mar 2024
Language-assisted Vision Model Debugger: A Sample-Free Approach to Finding and Fixing Bugs Chaoquan Jiang Jinqiang Wang Rui Hu Jitao Sang 161 0 0 09 Dec 2023
FedRA: A Random Allocation Strategy for Federated Tuning to Unleash the Power of Heterogeneous Clients Shangchao Su Bin Li Xiangyang Xue FedML 237 19 0 19 Nov 2023
Understanding the Robustness of Multi-modal Contrastive Learning to Distribution ShiftInternational Conference on Learning Representations (ICLR), 2023 Yihao Xue Siddharth Joshi Dang Nguyen Baharan Mirzasoleiman VLM 204 4 0 08 Oct 2023
Feedback-guided Data Synthesis for Imbalanced Classification Reyhane Askari Hemmat Mohammad Pezeshki Florian Bordes M. Drozdzal Adriana Romero Soriano SyDa 290 30 0 29 Sep 2023
FACTS: First Amplify Correlations and Then Slice to Discover BiasIEEE International Conference on Computer Vision (ICCV), 2023 Sriram Yenamandra Baifeng Shi Trevor Darrell Judy Hoffman CML 152 31 0 29 Sep 2023
Large-Scale Public Data Improves Differentially Private Image Generation Quality Ruihan Wu Chuan Guo Kamalika Chaudhuri 269 2 0 04 Aug 2023
Flatness-Aware Minimization for Domain GeneralizationIEEE International Conference on Computer Vision (ICCV), 2023 Xingxuan Zhang Renzhe Xu Han Yu Yancheng Dong Pengfei Tian Peng Cu 244 34 0 20 Jul 2023
MoP-CLIP: A Mixture of Prompt-Tuned CLIP Models for Domain Incremental LearningIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023 Julien Nicolas Florent Chiaroni Imtiaz Masud Ziko Ola Ahmad Christian Desrosiers Jose Dolz VLM CLL 244 6 0 11 Jul 2023
Graph Structure and Feature Extrapolation for Out-of-Distribution Generalization Xiner Li Shurui Gui Youzhi Luo Shuiwang Ji OODD OOD 300 14 0 13 Jun 2023
Neuron Activation Coverage: Rethinking Out-of-distribution Detection and GeneralizationInternational Conference on Learning Representations (ICLR), 2023 Zichen Liu Chris Xing Tian Haoliang Li Lei Ma Shiqi Wang UQCV 297 24 0 05 Jun 2023
Joint Learning of Label and Environment Causal Independence for Graph Out-of-Distribution GeneralizationNeural Information Processing Systems (NeurIPS), 2023 Shurui Gui Meng Liu Xiner Li Youzhi Luo Shuiwang Ji CML OOD 561 41 0 01 Jun 2023
Rethinking the Evaluation Protocol of Domain GeneralizationComputer Vision and Pattern Recognition (CVPR), 2023 Han Yu Xingxuan Zhang Renzhe Xu Tianyu Wang Yue He Peng Cui OOD 325 18 0 24 May 2023
Exploring One-shot Semi-supervised Federated Learning with A Pre-trained Diffusion ModelAAAI Conference on Artificial Intelligence (AAAI), 2023 Min Yang Shangchao Su Bin Li Xiangyang Xue DiffM 353 48 0 06 May 2023
Industrial Anomaly Detection with Domain Shift: A Real-world Dataset and Masked Multi-scale Reconstruction Zilong Zhang Zhibin Zhao Xingwu Zhang Chuang Sun Xuefeng Chen 328 87 0 05 Apr 2023
What Is Missing in IRM Training and Evaluation? Challenges and SolutionsInternational Conference on Learning Representations (ICLR), 2023 Yihua Zhang Pranay Sharma Parikshit Ram Min-Fong Hong Kush R. Varshney Sijia Liu 173 14 0 04 Mar 2023
Beyond Distribution Shift: Spurious Features Through the Lens of Training Dynamics Nihal Murali A. Puli Ke Yu Rajesh Ranganath Kayhan Batmanghelich AAML 244 13 0 18 Feb 2023
Gestalt-Guided Image Understanding for Few-Shot LearningAsian Conference on Computer Vision (ACCV), 2023 Kun Song Yuchen Wu Jiansheng Chen Tianyu Hu Huimin Ma 181 0 0 08 Feb 2023