ICCV 2023 Open Access Repository

The 2nd Workshop and Challenges for Out-of-Distribution Generalization in Computer Vision

AD-CLIP: Adapting Domains in Prompt Space Using CLIP: Mainak Singha,

Harsh Pal,

Ankit Jha,

Biplab Banerjee; [pdf]
[bibtex]
@InProceedings{Singha_2023_ICCV, author = {Singha, Mainak and Pal, Harsh and Jha, Ankit and Banerjee, Biplab}, title = {AD-CLIP: Adapting Domains in Prompt Space Using CLIP}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2023}, pages = {4355-4364} }
Unsupervised Camouflaged Object Segmentation as Domain Adaptation: Yi Zhang,

Chengyi Wu; [pdf] [arXiv]
[bibtex]
@InProceedings{Zhang_2023_ICCV, author = {Zhang, Yi and Wu, Chengyi}, title = {Unsupervised Camouflaged Object Segmentation as Domain Adaptation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2023}, pages = {4334-4344} }
DatasetEquity: Are All Samples Created Equal? In The Quest For Equity Within Datasets: Shubham Shrivastava,

Xianling Zhang,

Sushruth Nagesh,

Armin Parchami; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Shrivastava_2023_ICCV, author = {Shrivastava, Shubham and Zhang, Xianling and Nagesh, Sushruth and Parchami, Armin}, title = {DatasetEquity: Are All Samples Created Equal? In The Quest For Equity Within Datasets}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2023}, pages = {4417-4426} }
Confusing Large Models by Confusing Small Models: Vítor Albiero,

Raghav Mehta,

Ivan Evtimov,

Samuel Bell,

Levent Sagun,

Aram Markosyan; [pdf]
[bibtex]
@InProceedings{Albiero_2023_ICCV, author = {Albiero, V{\'\i}tor and Mehta, Raghav and Evtimov, Ivan and Bell, Samuel and Sagun, Levent and Markosyan, Aram}, title = {Confusing Large Models by Confusing Small Models}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2023}, pages = {4304-4312} }
LORD: Leveraging Open-Set Recognition with Unknown Data: Tobias Koch,

Christian Riess,

Thomas Köhler; [pdf] [supp]
[bibtex]
@InProceedings{Koch_2023_ICCV, author = {Koch, Tobias and Riess, Christian and K\"ohler, Thomas}, title = {LORD: Leveraging Open-Set Recognition with Unknown Data}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2023}, pages = {4386-4396} }
SC2GAN: Rethinking Entanglement by Self-Correcting Correlated GAN Space: Zikun Chen,

Han Zhao,

Parham Aarabi,

Ruowei Jiang; [pdf] [supp]
[bibtex]
@InProceedings{Chen_2023_ICCV, author = {Chen, Zikun and Zhao, Han and Aarabi, Parham and Jiang, Ruowei}, title = {SC2GAN: Rethinking Entanglement by Self-Correcting Correlated GAN Space}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2023}, pages = {4457-4466} }
Leveraging Visual Attention for out-of-Distribution Detection: Luca Cultrera,

Lorenzo Seidenari,

Alberto Del Bimbo; [pdf]
[bibtex]
@InProceedings{Cultrera_2023_ICCV, author = {Cultrera, Luca and Seidenari, Lorenzo and Del Bimbo, Alberto}, title = {Leveraging Visual Attention for out-of-Distribution Detection}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2023}, pages = {4447-4456} }
Consistency Regularization for Generalizable Source-Free Domain Adaptation: Longxiang Tang,

Kai Li,

Chunming He,

Yulun Zhang,

Xiu Li; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Tang_2023_ICCV, author = {Tang, Longxiang and Li, Kai and He, Chunming and Zhang, Yulun and Li, Xiu}, title = {Consistency Regularization for Generalizable Source-Free Domain Adaptation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2023}, pages = {4323-4333} }
Misalignment-Free Relation Aggregation for Multi-Source-Free Domain Adaptation: Hao-Wei Yeh,

Qier Meng,

Tatsuya Harada; [pdf] [supp]
[bibtex]
@InProceedings{Yeh_2023_ICCV, author = {Yeh, Hao-Wei and Meng, Qier and Harada, Tatsuya}, title = {Misalignment-Free Relation Aggregation for Multi-Source-Free Domain Adaptation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2023}, pages = {4313-4322} }
Raising the Bar on the Evaluation of Out-of-Distribution Detection: Jishnu Mukhoti,

Tsung-Yu Lin,

Bor-Chun Chen,

Ashish Shah,

Philip H.S. Torr,

Puneet K. Dokania,

Ser-Nam Lim; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Mukhoti_2023_ICCV, author = {Mukhoti, Jishnu and Lin, Tsung-Yu and Chen, Bor-Chun and Shah, Ashish and Torr, Philip H.S. and Dokania, Puneet K. and Lim, Ser-Nam}, title = {Raising the Bar on the Evaluation of Out-of-Distribution Detection}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2023}, pages = {4365-4375} }
Class-Aware Memory Guided Unbiased Weighting for Universal Domain Adaptive Object Detection: Qinghai Lang,

Zhenwei He,

Xiaowei Fu,

Lei Zhang; [pdf]
[bibtex]
@InProceedings{Lang_2023_ICCV, author = {Lang, Qinghai and He, Zhenwei and Fu, Xiaowei and Zhang, Lei}, title = {Class-Aware Memory Guided Unbiased Weighting for Universal Domain Adaptive Object Detection}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2023}, pages = {4345-4354} }
Can Self-Supervised Representation Learning MethodsWithstand Distribution Shifts and Corruptions?: Prakash Chandra Chhipa,

Johan Rodahl Holmgren,

Kanjar De,

Rajkumar Saini,

Marcus Liwicki; [pdf]
[bibtex]
@InProceedings{Chhipa_2023_ICCV, author = {Chhipa, Prakash Chandra and Holmgren, Johan Rodahl and De, Kanjar and Saini, Rajkumar and Liwicki, Marcus}, title = {Can Self-Supervised Representation Learning MethodsWithstand Distribution Shifts and Corruptions?}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2023}, pages = {4467-4476} }
Assessing the Impact of Diversity on the Resilience of Deep Learning Ensembles: A Comparative Study on Model Architecture, Output, Activation, and Attribution: Rafael Rosales,

Pablo Munoz,

Michael Paulitsch; [pdf] [supp]
[bibtex]
@InProceedings{Rosales_2023_ICCV, author = {Rosales, Rafael and Munoz, Pablo and Paulitsch, Michael}, title = {Assessing the Impact of Diversity on the Resilience of Deep Learning Ensembles: A Comparative Study on Model Architecture, Output, Activation, and Attribution}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2023}, pages = {4406-4416} }
Gradient Estimation for Unseen Domain Risk Minimization with Pre-Trained Models: Byounggyu Lew,

Donghyun Son,

Buru Chang; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Lew_2023_ICCV, author = {Lew, Byounggyu and Son, Donghyun and Chang, Buru}, title = {Gradient Estimation for Unseen Domain Risk Minimization with Pre-Trained Models}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2023}, pages = {4436-4446} }
A Re-Parameterized Vision Transformer (ReVT) for Domain-Generalized Semantic Segmentation: Jan-Aike Termöhlen,

Timo Bartels,

Tim Fingscheidt; [pdf] [supp]
[bibtex]
@InProceedings{Termohlen_2023_ICCV, author = {Term\"ohlen, Jan-Aike and Bartels, Timo and Fingscheidt, Tim}, title = {A Re-Parameterized Vision Transformer (ReVT) for Domain-Generalized Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2023}, pages = {4376-4385} }
Benchmarking Image Classifiers for Physical Out-of-Distribution Examples Detection: Ojaswee Ojaswee,

Akshay Agarwal,

Nalini Ratha; [pdf]
[bibtex]
@InProceedings{Ojaswee_2023_ICCV, author = {Ojaswee, Ojaswee and Agarwal, Akshay and Ratha, Nalini}, title = {Benchmarking Image Classifiers for Physical Out-of-Distribution Examples Detection}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2023}, pages = {4427-4435} }
Masking Strategies for Background Bias Removal in Computer Vision Models: Ananthu Aniraj,

Cassio F. Dantas,

Dino Ienco,

Diego Marcos; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Aniraj_2023_ICCV, author = {Aniraj, Ananthu and Dantas, Cassio F. and Ienco, Dino and Marcos, Diego}, title = {Masking Strategies for Background Bias Removal in Computer Vision Models}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2023}, pages = {4397-4405} }