VLCS

Overview edit

Associated Benchmarks

This dataset is used in 1 benchmark:

• Domain Generalization - Metrics: Average Accuracy

Recent Benchmark Submissions

Research Papers

Recent papers with results on this dataset:

• Soft Prompt Generation for Domain Generalization (2024) -
• Rethinking Multi-domain Generalization with A General Learning Objective (2024) -
• Domain Generalization Using Large Pretrained Models with Mixture-of-Adapters (2023) -
• Towards Unified and Effective Domain Generalization (2023) -
• Leveraging Vision-Language Models for Improving Domain Generalization in Image Classification (2023) -
• PromptStyler: Prompt-driven Style Generation for Source-free Domain Generalization (2023) -
• POEM: Polarization of Embeddings for Domain-Invariant Representations (2023) -
• VNE: An Effective Method for Improving Deep Representation by Manipulating Eigenvalue Distribution (2023) -
• Domain-aware Triplet loss in Domain Generalization (2023) -
• Context-Aware Robust Fine-Tuning (2022) -
• Sparse Mixture-of-Experts are Domain Generalizable Learners (2022) -
• CADG: A Model Based on Cross Attention for Domain Generalization (2022) -
• Domain Generalization by Mutual-Information Regularization with Pre-trained Models (2022) -
• Domain Generalization using Pretrained Models without Fine-tuning (2022) -
• Automated Domain Discovery from Multiple Sources to Improve Zero-Shot Generalization (2021) -
• Adaptive Methods for Aggregated Domain Generalization (2021) -
• Ensemble of Averages: Improving Model Selection and Boosting Performance in Domain Generalization (2021) -
• Fishr: Invariant Gradient Variances for Out-of-Distribution Generalization (2021) -
• Deep Stable Learning for Out-Of-Distribution Generalization (2021) -
• SWAD: Domain Generalization by Seeking Flat Minima (2021) -