DTD

Overview edit

Variants: DTD

Associated Benchmarks

This dataset is used in 7 benchmarks:

• Few-Shot Learning - Metrics: 4-shot Accuracy, 8-shot Accuracy, 12-shot Accuracy, 16-shot Accuracy, Harmonic mean
• Zero-Shot Learning - Metrics: Accuracy
• Neural Architecture Search - Metrics: Accuracy (%), FLOPS, PARAMS
• Image Clustering - Metrics: Accuracy, ARI, NMI
• Image Classification - Metrics: Accuracy
• Classification - Metrics: Accuracy
• Prompt Engineering - Metrics: Harmonic mean

Recent Benchmark Submissions

Research Papers

Recent papers with results on this dataset:

• MMRL++: Parameter-Efficient and Interaction-Aware Representation Learning for Vision-Language Models (2025) -
• MMRL: Multi-Modal Representation Learning for Vision-Language Models (2025) -
• HPT++: Hierarchically Prompting Vision-Language Models with Multi-Granularity Knowledge Generation and Improved Structure Modeling (2024) -
• Advancing Fine-Grained Classification by Structure and Subject Preserving Augmentation (2024) -
• Let Go of Your Labels with Unsupervised Transfer (2024) -
• Label Propagation for Zero-shot Classification with Vision-Language Models (2024) -
• Prompt Learning via Meta-Regularization (2024) -
• PromptKD: Unsupervised Prompt Distillation for Vision-Language Models (2024) -
• Learning Hierarchical Prompt with Structured Linguistic Knowledge for Vision-Language Models (2023) -
• Image Clustering with External Guidance (2023) -
• DePT: Decoupled Prompt Tuning (2023) -
• Read-only Prompt Optimization for Vision-Language Few-shot Learning (2023) -
• Self-regulating Prompts: Foundational Model Adaptation without Forgetting (2023) -
• Consistency-guided Prompt Learning for Vision-Language Models (2023) -
• Is Synthetic Data From Diffusion Models Ready for Knowledge Distillation? (2023) -
• Task Arithmetic in the Tangent Space: Improved Editing of Pre-Trained Models (2023) -
• RADAM: Texture Recognition through Randomized Aggregated Encoding of Deep Activation Maps (2023) -
• Learning Domain Invariant Prompt for Vision-Language Models (2022) -
• MaPLe: Multi-modal Prompt Learning (2022) -
• Bayesian Prompt Learning for Image-Language Model Generalization (2022) -