OutDistri22
* *Challenge for Out-of-Distribution Generalization in Computer Vision
* Consistency Regularization for Domain Adaptation
* Domain-conditioned Normalization for Test-time Domain Generalization
* Modselect: Automatic Modality Selection for Synthetic-to-real Domain Generalization
* Unleashing the Potential of Adaptation Models via Go-getting Domain Labels
OutDistri23
* *Challenge for Out-of-Distribution Generalization in Computer Vision
* AD-CLIP: Adapting Domains in Prompt Space Using CLIP
* Assessing the Impact of Diversity on the Resilience of Deep Learning Ensembles: A Comparative Study on Model Architecture, Output, Activation, and Attribution
* Benchmarking Image Classifiers for Physical Out-of-Distribution Examples Detection
* Can Self-Supervised Representation Learning Methods Withstand Distribution Shifts and Corruptions?
* Class-aware Memory Guided Unbiased Weighting for Universal Domain Adaptive Object Detection
* Confusing Large Models by Confusing Small Models
* Consistency Regularization for Generalizable Source-free Domain Adaptation
* DatasetEquity: Are All Samples Created Equal? In The Quest For Equity Within Datasets
* Gradient Estimation for Unseen Domain Risk Minimization with Pre-Trained Models
* Leveraging Visual Attention for out-of-distribution Detection
* Masking Strategies for Background Bias Removal in Computer Vision Models
* Misalignment-Free Relation Aggregation for Multi-Source-Free Domain Adaptation
* Raising the Bar on the Evaluation of Out-of-Distribution Detection
* Re-Parameterized Vision Transformer (ReVT) for Domain-Generalized Semantic Segmentation, A
* SC2GAN: Rethinking Entanglement by Self-correcting Correlated GAN Space
* Unsupervised Camouflaged Object Segmentation as Domain Adaptation
17 for OutDistri23